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ORCIDBMC Medical Informatics & Decision Making, Volume 24
Volume 24, Number 1, December 2024
- Zhibin Huang, Keen Yang, Hongtian Tian, Huaiyu Wu, Shuzhen Tang, Chen Cui, Siyuan Shi, Yitao Jiang, Jing Chen, Jinfeng Xu, Fajin Dong
:
A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors. 1 - Yujing Cheng, Xin Yang, Ying Wang, Qi Li, Wanlu Chen, Run Dai, Chan Zhang:
Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid Leukemia. 2 - Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan, Yilun Xu:
Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach. 3 - Meredith Gunlicks-Stoessel, Yangchenchen Liu, Catherine Parkhill, Nicole Morrell, Mimi Choy-Brown, Christopher Mehus, Joel Hetler, Gerald August:
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression. 4 - Atul Kumar Jain, Prashant Sharma, Sarkaft Saleh, Tuphan Kanti Dolai, Subhas Chandra Saha, Rashmi Bagga, Alka Rani Khadwal, Amita Trehan, Izabela Nielsen, Anilava Kaviraj, Reena Das, Subrata Saha:
Multi-criteria decision making to validate performance of RBC-based formulae to screen β-thalassemia trait in heterogeneous haemoglobinopathies. 5 - Wenjing Cao, Azidah Abdul Kadir, Wenzhen Tang, Juan Wang, Jiamu Yuan, Intan Idiana Hassan:
Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis. 6 - Martijn C. Schut, Dave A. Dongelmans, Dylan W. De Lange, Sylvia Brinkman, D. P. Verbiest, L. F. te Velde, E. M. van Driel, T. Rijpstra, P. H. J. Elbers, A. P. I. Houwink, L. Georgieva, E. Verweij, R. M. de Jong, F. M. van Iersel, T. J. J. Koning, E. Rengers, N. Kusadasi, M. L. Erkamp, R. Van den Berg, C. J. M. G. Jacobs, J. L. Epker, A. A. Rijkeboer, M. T. de Bruin, P. Spronk, A. Draisma, D. J. Versluis, A. E. van den Berg, M. Vrolijk-de Mos, J. A. Lens, R. V. Pruijsten, H. Kieft, J. Rozendaal, Fleur G. C. A. Nooteboom, D. P. Boer, I. T. A. Janssen, L. van Gulik, M. P. Koetsier, V. M. Silderhuis, R. M. Schnabel, I. Drogt, Wouter de Ruijter, Robert-Jan Bosman, T. Frenzel, Louise C. Urlings-Strop, A. Dijkhuizen, I. Z. Hené, A. R. de Meijer, J. W. M. Holtkamp, N. Postma, A. J. G. H. Bindels, R. M. J. Wesselink, E. R. van Slobbe-Bijlsma, Peter H. J. van der Voort, B. J. W. Eikemans, D. Jannet Mehagnoul-Schipper, D. Gommers, J. G. Lutisan, M. Hoeksema, M. G. W. Barnas, Barbara Festen-Spanjer, M. van Lieshout, N. C. Gritters, Martijn van Tellingen, Gert B. Brunnekreef, J. Vandeputte, T. P. J. Dormans, M. E. Hoogendoorn, M. de Graaff, D. Moolenaar, Auke C. Reidinga, J. J. Spijkstra, R. de Waal, D. Ramnarain, Nicolette F. de Keizer, Ameen Abu-Hanna:
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges. 7 - Jie Yang, Jing-Fang Wang, Lei Feng, Shihui Hou, Kaizhen Yv, Liang Xu, Kehong Chen:
Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis. 8 - Joshua Yondjo, Joyce Siette:
"VR is the future": perspectives of healthcare professionals on virtual reality as a diagnostic tool for dementia status in primary care. 9 - Andrew M. Simms, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta, Noel Southall:
A patient safety knowledge graph supporting vaccine product development. 10 - Yuan Tian, Rui Li, Guanlong Wang, Kai Xu, Hongxia Li, Lei He:
Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning. 11 - Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields, Trevelyan J. McKinley:
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy. 12 - Anying Bai, Mingyu Si, Peng Xue, Yimin Qu, Yu Jiang:
Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis. 13 - Liza Grosman-Rimon, Pete Wegier, Ruben Rodriguez, Jane Casey, Susan Tory, Jhanvi Solanki, Barbara E. Collins:
A command centre implementation before and during the COVID-19 pandemic in a community hospital. 14 - Ruibin Wang, Kavisha Jayathunge, Rupert Page, Hailing Li, Jian Jun Zhang, Xiaosong Yang:
Hybrid architecture based intelligent diagnosis assistant for GP. 15 - Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu, Luojie Liu:
Automated machine learning for early prediction of acute kidney injury in acute pancreatitis. 16 - Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian, Chao-Wang:
Heart failure classification using deep learning to extract spatiotemporal features from ECG. 17 - Jie Hu, Zixian Huang, Xuewen Ge, Yulin Shen, Yihan Xu, Zirui Zhang, Guangyin Zhou, Junjie Wang, Shan Lu, Yun Yu, Cheng Wan, Xin Zhang, Ruochen Huang, Yun Liu, Gong Cheng:
Development and application of Chinese medical ontology for diabetes mellitus. 18 - Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu, Yefei Zhang:
Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis. 19 - Wei Li, Xin Min, Panpan Ye, Weidong Xie, Dazhe Zhao:
Temporal topic model for clinical pathway mining from electronic medical records. 20 - Anna-Jasmin Wetzel, Malte Klemmt, Regina Müller, Monika A. Rieger, Stefanie Joos, Roland Koch:
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey. 21 - Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh, Mark Morgan, M. Ximena Tolosa, Carissa Bonner, Tony Stanton, Michael Fryer, Rosemary Korda:
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study. 22 - Fatma M. Talaat, Shaker H. Ali El-Sappagh, Khaled Alnowaiser, Esraa Hassan:
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture. 23 - Mengjie Hu, Han Peng, Xuan Zhang, Lefeng Wang, Jingjing Ren:
Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data. 24 - Joon Yul Choi, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Tae Keun Yoo:
Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography. 25 - Chun-Hei Lai, Prudence Kwan-Lam Mok, Wai-Wang Chau, Sheung-Wai Law:
Application of machine learning models on predicting the length of hospital stay in fragility fracture patients. 26 - Imanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Xabat Larrea, Ane Alberdi, Panagiotis D. Bamidis, Evdokimos I. Konstantinidis:
Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis. 27 - Alan Renier Jamal Occhioni Molter, Naise Oliveira da Rocha Carvalho, Paloma Ribeiro Torres, Marlete Pereira da Silva, Patrícia Dias de Brito, Pedro Emmanuel Alvarenga Americano do Brasil, Claudio Fico Fonseca, Adriana Costa Bacelo:
Development of a mobile application to represent food intake in inpatients: dietary data systematization. 28 - Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler:
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies. 29 - Tudor Groza, J. Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall, Justin T. Reese:
An evaluation of GPT models for phenotype concept recognition. 30 - Yifei Du, Yu Gu:
The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review. 31 - Liza G. G. van Lent, Mirte van der Ham, Maja J. A. de Jonge, Eelke H. Gort, Marjolein van Mil, Jeroen Hasselaar, Carin C. D. van der Rijt, Jelle van Gurp, Julia C. M. van Weert:
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool intervention. 32 - Md Ashiqul Haque, Muditha Lakmali Bodawatte Gedara, Nathan Nickel, Maxime Turgeon, Lisa M. Lix:
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis. 33 - Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner:
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic. 34 - Menglu Wang, Guangjian Liu, Zhennan Ni, Qianjun Yang, Xiaojun Li, Zhisheng Bi:
Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes. 35 - Yuting Li, Yukuan Lou, Man Liu, Siyi Chen, Peng Tan, Xiang Li, Huaixin Sun, Weixin Kong, Suhua Zhang, Xiang Shao:
Machine learning based biomarker discovery for chronic kidney disease-mineral and bone disorder (CKD-MBD). 36 - Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida, Xiali Hei:
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric. 37 - Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mohadeseh Sarbaz Bardsiri, Maral Ramezani:
Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms. 38 - Jiajie Zhou, Xiaoming Yuan:
Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia. 39 - Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad:
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment. 40 - Jiajing Li, Yuanyuan Dai, Zhicheng Mu, Zhonghai Wang, Juan Meng, Tao Meng, Jimin Wang:
Choice of refractive surgery types for myopia assisted by machine learning based on doctors' surgical selection data. 41 - Simran Saggu, Hirad Daneshvar, Reza Samavi, Paulo Pires, Roberto B. Sassi, Thomas E. Doyle, Judy Zhao, Ahmad Mauluddin, Laura Duncan:
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques. 42 - Jason Mao, Grace Gomez Felix Gomez, Mei Wang, Huiping Xu, Thankam P. Thyvalikakath:
Prediction of Sjögren's disease diagnosis using matched electronic dental-health record data. 43 - Andreas Blomqvist, Maria Bäck, Leonie Verheijden Klompstra, Anna Strömberg, Tiny Jaarsma:
Usability and feasibility analysis of an mHealth-tool for supporting physical activity in people with heart failure. 44 - Sarayut Julkaew, Thakerng Wongsirichot, Kasikrit Damkliang, Pornpen Sangthawan:
DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients. 45 - Sophie C. Renckens, H. Roeline Pasman, Zina Jorna, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, Monique A. H. Steegers, Birkitt L. ten Tusscher, Margo M. C. van Mol, Lilian C. M. Vloet, Bregje D. Onwuteaka-Philipsen:
Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives. 46 - Junko Koike, Toshiaki Kono, Koji Takeda, Yuji Yamada, Chiyo Fujii, Naotsugu Hirabayashi:
Data resource profile of an online database system for forensic mental health services. 47 - Qianning Liu, Yifan Chen, Peng Xie, Ying Luo, Buxuan Wang, Yuanxi Meng, Jiaqian Zhong, Jiaqi Mei, Wei Zou:
Development of a predictive machine learning model for pathogen profiles in patients with secondary immunodeficiency. 48 - Michael Selle, Magdalena Kircher, Cornelia Schwennen, Christian Visscher, Klaus Jung:
Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images. 49 - Borum Nam, Beomjun Bark, Jeyeon Lee, In Young Kim:
InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography. 50 - Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Alan Fries, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung:
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. 51 - Nahid Azdaki, Fatemeh Salmani, Toba Kazemi, Neda Partovi, Saeede Khosravi Bizhaem, Masomeh Noori Moghadam, Yoones Moniri, Ehsan Zarepur, Noushin Mohammadifard, Hassan Alikhasi, Fatemeh Nouri, Nizal Sarrafzadegan, Seyyed Ali Moezi, Mohammad Reza Khazdair:
Which risk factor best predicts coronary artery disease using artificial neural network method? 52 - Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson, Kayvan Najarian:
Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data. 53 - Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé:
Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models. 54 - Yanni Hu, Ziyang Hu, Wenjing Liu, Antian Gao, Shanhui Wen, Shu Liu, Zitong Lin:
Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings. 55 - Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner:
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic. 56 - Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg:
A novel estimator for the two-way partial AUC. 57 - Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr, Franziska Bathelt:
Conceptual design of a generic data harmonization process for OMOP common data model. 58 - Yinghao Luo, Yahui Peng, Yujia Tang, Pengfei Huang, Qianqian Zhang, Chunying Wang, Weiting Zhang, Jing Zhou, Longyu Liang, YuXin Zhang, Kaijiang Yu, Changsong Wang:
Effect of early serum phosphate disorder on in-hospital and 28-day mortality in sepsis patients: a retrospective study based on MIMIC-IV database. 59 - Sergio Alejandro Holguin-Garcia, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, Maria Alejandra Patiño-Claro, Harold Brayan Arteaga-Arteaga, Gonzalo A. Ruz, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortiz:
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure. 60 - Victorine P. Muse, Davide Placido, Amalie Dahl Haue, Søren Brunak:
Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases. 62 - Hayley Dunnack Yackel, Barbara Halpenny, Janet L. Abrahm, Jennifer Ligibel, Andrea Enzinger, David F. Lobach, Mary E. Cooley:
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all. 63 - Petra V. Lostelius, Catharina Gustavsson, Eva Thors Adolfsson, Anne Söderlund, Åsa Revenäs, Ann-Britt Zakrisson, Magdalena Mattebo:
Identification of health-related problems in youth: a mixed methods feasibility study evaluating the Youth Health Report System. 64 - Rodrigo Escobar Díaz Guerrero, José Luís Oliveira, Jürgen Popp, Thomas Bocklitz:
MMIR: an open-source software for the registration of multimodal histological images. 65 - Robert Wu, Eyal de Lara, Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tanya Son, Andrea Gershon:
Feasibility of a wearable self-management application for patients with COPD at home: a pilot study. 66 - Junmo Kim, Min Hyuk Lim, Kwangsoo Kim, Hyung-Jin Yoon:
Continual learning framework for a multicenter study with an application to electrocardiogram. 67 - Everett Neil Rush, Ozgur Ozmen, Minsu Kim, Erin Rush Ortegon, Makoto Jones, Byung H. Park, Steven Pizer, Jodie Trafton, Lisa A. Brenner, Merry Ward, Jonathan R. Nebeker:
A framework for inferring and analyzing pharmacotherapy treatment patterns. 68 - Gillian Gorham, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen, Bhavya Balasubramanya, Mohammad Radwanur Talukder, Sophie Pascoe, Adam Whitehead, Cherian Sajiv, Louise Maple Brown, Nadarajah Kangaharan, Alan Cass:
Developing an integrated clinical decision support system for the early identification and management of kidney disease - building cross-sectoral partnerships. 69 - Gideon Kowadlo, Yoel Mittelberg, Milad Ghomlaghi, Daniel K. Stiglitz, Kartik Kishore, Ranjan Guha, Justin Nazareth, Laurence Weinberg:
Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning. 70 - Chung-Chih Lin, Ching-Tzu Yang, Pei-Ling Su, Jung-Ling Hsu, Yea-Ing L. Shyu, Wen-Chuin Hsu:
Implementation difficulties and solutions for a smart-clothes assisted home nursing care program for older adults with dementia or recovering from hip fracture. 71 - Ye-Jean Park, Abhinav Pillai, Jiawen Deng, Eddie Guo, Mehul Gupta, Mike Paget, Christopher Naugler:
Assessing the research landscape and clinical utility of large language models: a scoping review. 72 - Aihua Li, Che Han, Xinzhu Xing, Qinyan Wei, Yuxue Chi, Fan Pu:
KGSCS - a smart care system for elderly with geriatric chronic diseases: a knowledge graph approach. 73 - Vahid Farrahi, Paul J. Collings, Mourad Oussalah:
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health. 74 - Yong Liu, Shenggen Ju, Junfeng Wang:
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences. 75 - Daniel Gallacher:
SurvInt: a simple tool to obtain precise parametric survival extrapolations. 76 - Pei-Yu Dai, Yu-Cheng Wu, Ruey-Kai Sheu, Chieh-Liang Wu, Shu-Fang Liu, Pei-Yi Lin, Wei-Lin Cheng, Guan-Yin Lin, Huang-Chien Chung, Lun-Chi Chen:
An automated ICU agitation monitoring system for video streaming using deep learning classification. 77 - Inge S. van Strien-Knippenberg, Hannah Arjangi-Babetti, Daniëlle R. M. Timmermans, Laura Schrauwen, Mirjam P. Fransen, Marijke Melles, Olga C. Damman:
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach. 78 - Joyce Siette, Jonathan Guion, Kiran Ijaz, Paul Strutt, Meredith Porte, Greg Savage, Debbie Richards:
Development of a new computer simulated environment to screen cognition: assessing the feasibility and acceptability of Leaf Café in younger and older adults. 79 - Fabiano Papaiz, Mario Emílio Teixeira Dourado, Ricardo Alexsandro de Medeiros Valentim, Rafael Pinto, Antonio Higor Freire de Morais, Joel Perdiz Arrais:
Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis. 80 - Yoo-Ri Koo, Eun-Jeong Kim, Inn-Chul Nam:
Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor-patient relationship: application of treatment journey-based service blueprint. 81 - Hang Lu, Yuxing Mao, Jinsen Li, Lin Zhu:
Multimodal deep learning-based diagnostic model for BPPV. 82 - Sukumpat Na Nan, Borwon Wittayachamnankul, Wachira Wongtanasarasin, Theerapon Tangsuwanaruk, Krongkarn Sutham, Orawit Thinnukool:
An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand. 83 - Dongyang Che, Jinlin Hu, Jialiang Zhu, Jun Lyu, Xiaoshen Zhang:
Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis. 84 - Seol Whan Oh, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seokho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha, Sung-Hoo Hong:
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma. 85 - Oduse Samuel, Temesgen Zewotir, Delia North:
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset. 86 - Mehri Momeni, Marziyeh Afkanpour, Saleh Rakhshani, Amin Mehrabian, Hamed Tabesh:
A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests. 88 - Áron Hölgyesi, Zsombor Zrubka, László Gulácsi, Petra Baji, Tamás Haidegger, Miklós Kozlovszky, Miklós Weszl, Levente Kovács, Márta Péntek:
Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey. 87 - Gillian Gorham, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen, Bhavya Balasubramanya, Mohammad Radwanur Talukder, Sophie Pascoe, Adam Whitehead, Cherian Sajiv, Louise Maple Brown, Nadarajah Kangaharan, Alan Cass:
Correction: Developing an integrated clinical decision support system for the early identification and management of kidney disease - building cross-sectoral partnerships. 89 - Samuel Cusworth, Georgios V. Gkoutos, Animesh Acharjee:
A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data. 90 - Melaku Tadege, Awoke Seyoum Tegegne, Zelalem G. Dessie:
Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling. 91 - Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni, Haewon Byeon:
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer. 92 - Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri, Giuseppe Tradigo:
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case. 93 - Ke Wang, Kai Zhang, Banteng Liu, Wei Chen, Meng Han:
Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features. 94 - Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos A. Magalhães, Nuno A. Silva, Mário J. Silva, Francisca Pais Leite:
Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis. 95 - Pinar Tokgöz, Stephan Krayter, Jessica Hafner, Christoph Dockweiler:
Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation. 96 - Parvaneh Darabi, Safoora Gharibzadeh, Davood Khalili, Mehrdad Bagherpour-Kalo, Leila Janani:
Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study. 97 - Diogo Nogueira-Leite, Manuel Marques-Cruz, Ricardo Cruz-Correia:
Individuals' attitudes toward digital mental health apps and implications for adoption in Portugal: web-based survey. 99 - Matthijs Berkhout, Koen Smit, Johan Versendaal:
Decision discovery using clinical decision support system decision log data for supporting the nurse decision-making process. 100 - Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou, Lei Chen:
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application. 101 - Smaranda Belciug:
Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor. 102 - Esmaeel Toni, Haleh Ayatollahi:
An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review. 104 - Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E. Schulz, Licong Cui:
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements. 103 - Kuang-Ming Kuo, Yih-Lon Lin, Chao-Sheng Chang, Tin Ju Kuo:
An ensemble model for predicting dispositions of emergency department patients. 105 - Jiaye Sun, Shijun Shao, Hua Wan, Xueqing Wu, Jiamei Feng, Qingqian Gao, Wenchao Qu, Lu Xie:
Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning. 106 - Vittorio Torri, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni, Francesca Ieva:
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals. 107 - Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou, Jinyu Zhang:
Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study. 108 - Jonathan Fior:
INNBC DApp, a decentralized application to permanently store biomedical data on a modern, proof-of-stake (POS), blockchain such as BNB Smart Chain. 109 - Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li, Xihua Wei, Die Zhang, Boying Liang, Wen Li, Shanfang Qin, Tengyue Yan, Qiuxia Meng, Huilin Wei, Guiyang Jiang, Lingsong Su, Nili Jiang, Kai Zhang, Jiannan Lv, Yanling Hu:
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning. 110 - Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner, Rajesh Ranganath:
From algorithms to action: improving patient care requires causality. 111 - Zain Hamid, Fatima Khalique, Saba Mahmood, Ali Daud, Amal Bukhari, Bader Alshemaimri:
Healthcare insurance fraud detection using data mining. 112 - A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran, Suresh Guluwadi:
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering. 113 - Abeer Aljohani, Rua Y. Aburasain:
A hybrid framework for glaucoma detection through federated machine learning and deep learning models. 115 - Gabin Drouard, Juha Mykkänen, Jarkko Heiskanen, Joona Pohjonen, Saku Ruohonen, Katja Pahkala, Terho Lehtimäki, Xiaoling Wang, Miina Ollikainen, Samuli Ripatti, Matti Pirinen, Olli T. Raitakari, Jaakko Kaprio:
Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data. 116 - Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton:
Continuous patient state attention model for addressing irregularity in electronic health records. 117 - Yin-Ting Lin, Ko-Ming Lin, Kai-Hsiang Wu, Frank Lien:
Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score. 118 - Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi, Akash Kumar Bhoi:
Machine learning-empowered sleep staging classification using multi-modality signals. 119 - Naseem Asghar, Umair Khalil, Basheer Ahmad, Huda M. Alshanbari, Muhammad Hamraz, Bakhtiyar Ahmad, Dost Muhammad Khan:
Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network. 120 - Ananya Choudhury, Esther R. C. Janssen, Bart C. Bongers, Nico L. U. van Meeteren, Andre Dekker, Johan van Soest:
Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train. 121 - Natalia García Sánchez, Esther Ugarte Carro, Lucía Prieto Santamaría, Alejandro Rodríguez González:
Protein sequence analysis in the context of drug repurposing. 122 - Qiqiang Liang, Shuo Ding, Juan Chen, Xinyi Chen, Yongshan Xu, Zhijiang Xu, Man Huang:
Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning. 123 - Sunwoo Han, Khamsone Phasouk, Jia Zhu, Youyi Fong:
Optimizing deep learning-based segmentation of densely packed cells using cell surface markers. 124 - Kaiwen Xue, Weihao Li, Fang Liu, Xiangxiang Liu, John Wong, Mingchao Zhou, Chunli Cai, Jianjun Long, Jiehui Li, Zeyu Zhang, Weilin Hou, Guohui Nie, Yulong Wang:
Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference. 125 - Haoyue Sheng, Linrui Ma, Jean-Francois Samson, Dianbo Liu:
BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning. 126 - Yun-Chien Tseng, Chuan-Wei Kuo, Wen-Chih Peng, Chih-Chieh Hung:
al-BERT: a semi-supervised denoising technique for disease prediction. 127 - Bocheng Liang, Fengfeng Peng, Dandan Luo, Qing Zeng, Huaxuan Wen, Bowen Zheng, Zhiying Zou, Liting An, Huiying Wen, Xin Wen, Yimei Liao, Ying Yuan, Shengli Li:
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV2. 128 - Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou, Jinyu Zhang:
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study. 129 - Sofa D. Alfian, Jihan A. Sania, Dzulfah Q. Aini, Qisty A. Khoiry, Meliana Griselda, Yudisia Ausi, Neily Zakiyah, Irma M. Puspitasari, Auliya A. Suwantika, Mariska Mahfud, Saktian Aji, Rizky Abdulah, Angelos P. Kassianos:
Evaluation of usability and user feedback to guide telepharmacy application development in Indonesia: a mixed-methods study. 130 - Mehrdad Motamed Shariati, Saeid Eslami, Nasser Shoeibi, Alireza Eslampoor, Mohammadreza Sedaghat, Hamid Gharaei, Siamak Zarei-Ghanavati, Akbar Derakhshan, Majid Abrishami, Mojtaba Abrishami, Seyedeh Maryam Hosseini, Saeed Shokuhi Rad, Mohammadreza Ansari Astaneh, Raheleh Mahboub Farimani:
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches. 131 - Johnson Nyeko Oloya, Nelson Onira Alema, Christopher Okot, Emmanuel Olal, Eric Nzirakaindi Ikoona, Freddy Wathum Drinkwater Oyat, Baguma Steven, Denish Omoya Ochula, Patrick Odong Olwedo, Francis Pebalo Pebolo, Pamela Okot Atim, Godfrey Smart Okot, Ritah Nantale, Judith Aloyo, David Lagoro Kitara:
Trusted sources of information on COVID-19 vaccine in Uganda. 132 - Wendy Burke, Andrew Stranieri, Taiwo Oseni, Iqbal Gondal:
The need for cybersecurity self-evaluation in healthcare. 133 - Carole Faviez, Xiaoyi Chen, Nicolas Garcelon, Mohamad Zaidan, Katy Billot, Friederike Petzold, Hassan Faour, Maxime Douillet, Jean-Michel Rozet, Valerie Cormier-Daire, Tania Attié-Bitach, Stanislas Lyonnet, Sophie Saunier, Anita Burgun:
Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies. 134 - Mohsen Soleimani, Marjan Ghazisaeedi, Soroush Heydari:
The efficacy of virtual reality for upper limb rehabilitation in stroke patients: a systematic review and meta-analysis. 135 - Sonja Harkener, Ekkehart Jenetzky, Rüdiger Rupp, Jennifer Dell, Christoph Engel, Maximilian Ferry von Bargen, Robert Patrick Finger, Maximilian Glienke, Carsten Heinz, Patrick Jersch, David Martin, Rita Schmutzler, Martin Schönthaler, Barbara Suwelack, Jeannine Wegner, Jürgen Stausberg:
Recommended data elements for health registries: a survey from a German funding initiative. 136 - Hang Wu, Wenqi Shi, May D. Wang:
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning. 137 - Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, Mohammad Mehdi Ghaemi, Sadrieh Hajesmaeel Gohari, Rohaneh Rahimisadegh, Kambiz Bahaadinbeigy, Fahimeh Ghasemian, Hassan Shirvani:
Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies. 138 - Tetsuro Hayashi, Seiji Bito:
Usage and limitations of medical consultation with patients' families using online video calls: a prospective cohort study. 139 - Catherine Nasrallah, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Mary C. Nakamura, Andrew Gross, Mehrdad Matloubian, Judith Ashouri, Jinoos Yazdany, Gabriela Schmajuk:
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study. 140 - Jun Zhou, Xin Wang, Yiyao Li, Yuqing Yang, Juhong Shi:
Federated-learning-based prognosis assessment model for acute pulmonary thromboembolism. 141 - Mohamed Musthafa M, I. Manimozhi, T. R. Mahesh, Suresh Guluwadi:
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques. 142 - Chaoqun Yan, Jinxin Zheng, Haizheng Tang, Changjian Fang, Jiang Zhu, Hu Feng, Hao Huang, Yilin Su, Gang Wang, Cheng Wang:
Prediction for post-ERCP pancreatitis in non-elderly patients with common bile duct stones: a cross-sectional study at a major Chinese tertiary hospital (2015-2023). 143 - Belqes Alsadi, Saleh Musleh, Hamada R. H. Al-Absi, Mahmoud Ahmed Refaee, Rizwan Qureshi, Nady El Hajj, Tanvir Alam:
An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health. 144 - Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, TaeHoon Lee, Yongwon Cho, Tae Hoon Kim:
Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images. 145 - Stefan Candefjord, Magnus Andersson Hagiwara, Bengt Arne Sjöqvist, Jan-Erik Karlsson, Annika Nordanstig, Lars Rosengren, Hanna Maurin Söderholm:
Video support for prehospital stroke consultation: implications for system design and clinical implementation from prehospital simulations. 146 - Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, Xiaoqian Jiang, Ju Han Kim:
Exploring the tradeoff between data privacy and utility with a clinical data analysis use case. 147 - Xunliang Li, Peng Wang, Yuke Zhu, Wenman Zhao, Haifeng Pan, Deguang Wang:
Interpretable machine learning model for predicting acute kidney injury in critically ill patients. 148 - Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, TaeHoon Lee, Yongwon Cho, Tae Hoon Kim:
Correction: Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images. 150 - Hielke Muizelaar, Marcel R. Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit:
Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. 151 - Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au, Vijaya B. Kolachalama:
DREAMER: a computational framework to evaluate readiness of datasets for machine learning. 152 - Tserendorj Chinbat, Samaneh Madanian, David Airehrour, Farkhondeh Hassandoust:
Machine learning cryptography methods for IoT in healthcare. 153 - Oshin Miranda, Sophie Marie Kiehl, Xiguang Qi, M. Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, Yanshan Wang, LiRong Wang:
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records. 154 - Rachel Canaway, Christine Chidgey, Christine Hallinan, Daniel Capurro, Douglas Iain Ross Boyle:
Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting. 155 - Hanieh Delshad Aghdam, Fatemeh Zarei, Seyed Farzad Mohammadi:
Development of a web-based patient decision aid for myopia laser correction method. 156 - Amirreza Nasirzade, Kolsoum Deldar, Razieh Froutan, Mohammad-Taghi Shakeri:
Comparison of the effects of burn assessment mission game with feedback lecture on nursing students' knowledge and skills in the burn patients' assessment: a randomized clinical trial. 157 - Han Zang, Ai Hu, Xuanqi Xu, He Ren, Li Xu:
Development of machine learning models to predict perioperative blood transfusion in hip surgery. 158 - Yi Zhang, ZhenMei Wang, Hanyan Wei, Min Chen:
Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning. 159 - Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao:
Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches. 160 - Haoran Chen, Fengchun Yang, Yifan Duan, Lin Yang, Jiao Li:
A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission. 161 - Yu Shi, Shi Pu, Hongmei Peng, Jing Zhang, Yang Li, Xia Huang, Caiping Song, Yu Luo:
Impact of mobile application and outpatient follow-up on renal endpoints and physiological indices in patients with chronic kidney disease: a retrospective cohort study in Southwest China. 163 - Walter Onen Yagos, Pamela Okot Atim, Derrick Amone, Alarakol Simon Peter, Geoffrey Tabo Olok:
Attitudes of female market vendors of reproductive age towards use of mobile phones and access to family planning self-care interventions in Northern Uganda: a cross-sectional study. 164 - Isidoro J. Casanova, Manuel Campos, Jose M. Juarez, Antonio Gomariz, Bernardo Cánovas-Segura, Marta Lorente-Ros, Jose A. Lorente:
Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare. 165 - Meng Wang, Gao Yi, Yunjia Zhang, Mei Li, Jin Zhang:
Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning. 166 - Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski:
Collaborative learning from distributed data with differentially private synthetic data. 167 - Wei Xu, Xin Zhang, Fan Xu, Yuan Yuan, Ying Tang, Qiuling Shi:
WeChat assisted electronic symptom measurement for patients with adenomyosis. 168 - Hielke Muizelaar, Marcel R. Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit:
Correction: Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. 169 - Benedetta Gottardelli, Roberto Gatta, Leonardo Nucciarelli, Andrada Mihaela Tudor, Erica Tavazzi, Mauro Vallati, Stefania Orini, Nicoletta Di Giorgi, Andrea Damiani:
GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics. 170 - Bry Sylla, Boukary Ouedraogo, Salif Traore, Ousseni Ouedraogo, Gueswendé Blaise Léon Savadogo, Gayo Diallo:
Current status of digital health interventions in the health system in Burkina Faso. 171 - Yan Li, Chaonan Du, Sikai Ge, Ruonan Zhang, Yiming Shao, Keyu Chen, Zhepeng Li, Fei Ma:
Hematoma expansion prediction based on SMOTE and XGBoost algorithm. 172 - Feng Wang, Jiayi Xu, Fumei Wang, Xu Yang, Yang Xiao, Hongli Zhou, Na Yi, Congcong Jiao, Xuesong Su, Beiru Zhang, Hua Zhou, Yanqiu Wang:
A dynamic online nomogram for predicting renal outcomes of idiopathic membranous nephropathy. 173 - Xi Bai, Zhibo Zhou, Zeyan Zheng, Yansheng Li, Kejia Liu, Yuanjun Zheng, Hongbo Yang, Huijuan Zhu, Shi Chen, Hui Pan:
Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy. 174 - Tanakamol Mahawan, Teifion Luckett, Ainhoa Mielgo Iza, Natapol Pornputtapong, Eva Caamaño Gutiérrez:
Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis. 175 - Zhiheng Xu, Lirong Jin, Weijie Chen, Tianyu Hu, Shiyu Li, Xiaoniu Liang, Xixi Han, Yi Chen, Yilin Tang, Jian Wang, Danhong Wu:
Using a smartphone-based self-management platform to study sex differences in Parkinson's disease: multicenter, cross-sectional pilot study. 176 - Hemalatha Kanakarajan, Wouter De Baene, Karin Gehring, Daniëlle B. P. Eekers, Patrick Hanssens, Margriet Sitskoorn:
Factors associated with the local control of brain metastases: a systematic search and machine learning application. 177 - Jiayin Zhou, Jie Hao, Mingkun Tang, Haixia Sun, Jiayang Wang, Jiao Li, Qing Qian:
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction. 178 - Manar Abu Talib, Yaman Afadar, Qassim Nasir, Ali Bou Nassif, Haytham Hijazi, Ahmad Hasasneh:
A tree-based explainable AI model for early detection of Covid-19 using physiological data. 179 - Zahra Pouraskari, Reza Yazdani, Maryam Khademi, Hossein Hessari:
Patterns and factors associated with dental service utilization among insured people: a data mining approach. 180 - Raoof Nopour:
Establishment of prediction model for mortality risk of pancreatic cancer: a retrospective study. 181 - Lisa Strifler, Christine Fahim, Michael Hillmer, Jan M. Barnsley, Sharon E. Straus:
Development and usability testing of an online support tool to identify models and frameworks to inform implementation. 182 - Jenny Yang, Hagen Triendl, Andrew A. S. Soltan, Mangal Prakash, David A. Clifton:
Addressing label noise for electronic health records: insights from computer vision for tabular data. 183 - Esther R. C. Janssen, Ilona M. Punt, Johan van Soest, Yvonne F. Heerkens, Hillegonda A. Stallinga, Huib ten Napel, Lodewijk W. van Rhijn, Barend Mons, Andre Dekker, Paul C. Willems, Nico L. U. van Meeteren:
Operationalizing and digitizing person-centered daily functioning: a case for functionomics. 184 - Gokce B. Laleci Erturkmen, Natassia Kamilla Juul, Irati Erreguerena Redondo, Ana Ortega-Gil, Dolores Verdoy Berastegui, Esteban De Manuel Keenoy, Mustafa Yuksel, Bunyamin Sarigul, Gökhan Yilmaz, Sarah N. Lim Choi Keung, Theodoros N. Arvanitis, Thea Damkjaer Syse, Janika Bloemeke-Cammin, Rachelle Kaye, Anne Dichmann Sorknaes:
Design, implementation and usability analysis of patient empowerment in ADLIFE project via patient reported outcome measures and shared decision making. 185 - Christel Sirocchi, Alessandro Bogliolo, Sara Montagna:
Medical-informed machine learning: integrating prior knowledge into medical decision systems. 186 - Yuwen Chen, Xiaoyan Hu, Yiziting Zhu, Xiang Liu, Bin Yi:
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging. 187 - David Lampe, John Grosser, Dennis Grothe, Birthe Aufenberg, Daniel Gensorowsky, Julian Witte, Wolfgang Greiner:
How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review. 188 - Maryam Peimani, Mozhgan Tanhapour, Fatemeh Bandarian, Ensieh Nasli Esfahani, Afshin Ostovar:
Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes. 189 - Girum Taye Zeleke, Bilal Iqbal Avan, Mehret Amsalu Dubale, Joanna Schellenberg:
Effect of the data-informed platform for health intervention on the culture of data use for decision-making among district health office staff in North Shewa Zone, Ethiopia: a cluster-randomised controlled trial. 190 - Jinsol Ko, Soyeon Park, Hyun Goo Woo:
Optimization of vision transformer-based detection of lung diseases from chest X-ray images. 191 - Yingxuan Guo, Changke Huang, Yaying Sheng, Wenjie Zhang, Xin Ye, Hengli Lian, Jiahao Xu, Yiqi Chen:
Improve the efficiency and accuracy of ophthalmologists' clinical decision-making based on AI technology. 192 - Bora Lee, Young-Kyun Lee, Sung Han Kim, HyunJin Oh, Sungho Won, Suk-Yong Jang, Ye Jin Jeon, Bit-Na Yoo, Jean-Kyung Bak:
Impact of linkage level on inferences from big data analyses in health and medical research: an empirical study. 193 - HongYuan Lu, XinMiao Feng, Jing Zhang:
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN. 194 - Amir Gandomi, Phil Wu, Daniel R. Clement, Jinyan Xing, Rachel Aviv, Matthew Federbush, Zhiyong Yuan, Yajun Jing, Guangyao Wei, Negin Hajizadeh:
ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes. 195 - Thirumalesu Kudithi, J. Balajee, R. Sivakami, T. R. Mahesh, E. Mohan, Suresh Guluwadi:
Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation. 196 - Ting Cheng, Dongdong Yu, Jun Tan, Shaojun Liao, Li Zhou, Wenwei OuYang, Zehuai Wen:
Development a nomogram prognostic model for survival in heart failure patients based on the HF-ACTION data. 197 - Asghar Ali Shah, Ali Daud, Amal Bukhari, Bader Alshemaimri, Muhammad Ahsan, Rehmana Younis:
DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation. 198 - Chien-Hsiang Cheng, Bor-Jen Lee, Oswald Ndi Nfor, Chih-Hsuan Hsiao, Yi-Chia Huang, Yung-Po Liaw:
Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors. 199 - Ya Wu, Danmeng Dong, Lijie Zhu, Zihong Luo, Yang Liu, Xiaoyun Xie:
Interpretable machine learning models for detecting peripheral neuropathy and lower extremity arterial disease in diabetics: an analysis of critical shared and unique risk factors. 200 - Zahra Mohammadzadeh, Mehdi Shokri, Hamid Reza Saeidnia, Marcin Kozak, Agostino Marengo, Brady D. Lund, Marcel Ausloos, Nasrin Ghiasi:
Principles of digital professionalism for the metaverse in healthcare. 201 - Tuuli Turja, Milla Rosenlund, Virpi Jylhä, Hanna Kuusisto:
Shared decision-making endorses intention to follow through treatment or vaccination recommendations: a multi-method survey study among older adults. 202 - Andrea Campagner, Frida Milella, Giuseppe Banfi, Federico Cabitza:
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures. 203 - Jocelyn Dunstan, Thomas Vakili, Luis Miranda, Fabián Villena, Claudio Aracena, Tamara Quiroga, Paulina Vera, Sebastián Viteri Valenzuela, Victor Rocco:
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish. 204 - Saman Enayati, Slobodan Vucetic:
Leveraging shortest dependency paths in low-resource biomedical relation extraction. 205 - Minghui Sun, Matthew M. Engelhard, Armando Bedoya, Benjamin Goldstein:
Incorporating informatively collected laboratory data from EHR in clinical prediction models. 206 - Bin Wang, Xia Huang, Guofang Liu, Taohua Zheng, Hui Lin, Yue Qiao, Wenjuan Sun:
The sensitivity outcome index system for home care of elderly liver transplant patients was developed based on the Omaha problem classification system. 207 - Le Li, Jingyuan Guan, Xi Peng, Likun Zhou, Zhuxin Zhang, Ligang Ding, Lihui Zheng, Lingmin Wu, Zhicheng Hu, Limin Liu, Yan Yao:
Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury. 208 - Nishchay Mehta, Baptiste Briot Ribeyre, Lilia Dimitrov, Louise J. English, Colleen Ewart, Antje Heinrich, Nikhil Joshi, Kevin J. Munro, Gail Roadknight, Luis Romao, Anne Gm Schilder, Ruth V. Spriggs, Ruth Norris, Talisa Ross, George Tilston:
Creating a health informatics data resource for hearing health research. 209 - Michelle Pistner Nixon, Farhani Momotaz, Claire Smith, Jeffrey S. Smith, Mark Sendak, Christopher Polage, Justin D. Silverman:
From pre-test and post-test probabilities to medical decision making. 210 - Derya Dursun, Rumeysa Bilici Geçer:
Can artificial intelligence models serve as patient information consultants in orthodontics? 211 - Mike Nsubuga, Henry Mutegeki, Daudi Jjingo, Deogratias Munube, Ruth Namazzi, Robert Opoka, Philip Kasirye, Grace Ndeezi, Heather Hume, Ezekiel Mupere, Grace Kebirungi, Isaac Birungi, Jack Morrice, Mario Jonas, Victoria Nembaware, Ambroise Wonkam, Julie Makani, Sarah Kiguli:
The Ugandan sickle Pan-African research consortium registry: design, development, and lessons. 212 - Ebrahim Miri-Moghaddam, Saeede Khosravi Bizhaem, Zohre Moezzifar, Fatemeh Salmani:
Long-term prediction of Iranian blood product supply using LSTM: a 5-year forecast. 213 - Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich:
Transformer models in biomedicine. 214 - Su Özgür, Meryem Koçaslan Toran, Ismail Toygar, Gizem Yagmur Yalçin, Mefkure Eraksoy:
A machine learning approach to determine the risk factors for fall in multiple sclerosis. 215 - Patricia Romao, Stefanie Neuenschwander, Chantal Zbinden, Kathleen Seidel, Murat Sariyar:
An ontology-based tool for modeling and documenting events in neurosurgery. 216 - Jiajia Zhang, Heng Zhang, Ting Wei, Pinfang Kang, Bi Tang, Hongju Wang:
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS. 217 - Dongmei Li, Yu Yang, Jinman Cui, Xianghao Meng, Jintao Qu, Zhuobin Jiang, Yufeng Zhao:
Joint extraction of Chinese medical entities and relations based on RoBERTa and single-module global pointer. 218 - Xiangying Yang, Wenbo Huang, Li Liu, Lei Li, Song Qing, Na Huang, Jun Zeng, Kai Yang:
Unlocking treatment success: predicting atypical antipsychotic continuation in youth with mania. 219 - Seyed Mohammad Sadegh Dashti, Seyedeh Fatemeh Dashti:
Improving the quality of Persian clinical text with a novel spelling correction system. 220 - Hongyu Chen, Li Dan, Yonghe Lu, Minghong Chen, Jinxia Zhang:
An improved data augmentation approach and its application in medical named entity recognition. 221 - K. Vanitha, T. R. Mahesh, S. Sathea Sree, Suresh Guluwadi:
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning. 222 - Zhijiang Yu, Negin Ashrafi, Hexin Li, Kamiar Alaei, Maryam Pishgar:
Prediction of 30-day mortality for ICU patients with Sepsis-3. 223 - Tian Dai, Manzhen Bao, Miao Zhang, Zonggui Wang, JingJing Tang, Zeyan Liu:
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy. 224 - Yue Qiu, Hongcheng Guo, Shixin Wang, Shu Yang, Xiafeng Peng, Dongqin Xiayao, Renjie Chen, Jian Yang, Jiaheng Liu, Mingfang Li, Zhoujun Li, Hongwu Chen, Minglong Chen:
Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation. 225 - Sylvia M. Brakenhoff, Thymen Theijse, Peter van Wijngaarden, Christian Trautwein, Jonathan F. Brozat, Frank Tacke, Pieter Honkoop, Thomas Vanwolleghem, Dirk Posthouwer, Stefan Zeuzem, Ulrike Mihm, Heiner Wedemeyer, Thomas Berg, Solko W. Schalm, Robert J. de Knegt:
Patient profiled data for treatment decision-making: valuable as an add-on to hepatitis C clinical guidelines? 227 - Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei, Maryam Pishgar:
Prediction of sepsis mortality in ICU patients using machine learning methods. 228 - Dong Tian, Yu-Jie Zuo, Hao-Ji Yan, Heng Huang, Ming-Zhao Liu, Hang Yang, Jin Zhao, Ling-Zhi Shi, Jing-Yu Chen:
Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study. 229 - Nishchay Mehta, Baptiste Briot Ribeyre, Lilia Dimitrov, Louise J. English, Colleen Ewart, Antje Heinrich, Nikhil Joshi, Kevin J. Munro, Gail Roadknight, Luis Romao, Anne Gm Schilder, Ruth V. Spriggs, Ruth Norris, Talisa Ross, George Tilston:
Correction: Creating a health informatics data resource for hearing health research. 230 - Edith Antor, Joseph Owusu-Marfo, Jonathan Kissi:
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana. 231 - Haomin Tang, Shu Liu, Weijie Tan, Lingling Fu, Ming Yan, Hongchao Feng:
Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer. 232 - Guadalupe González-Montero, María Guijarro Mata-García, Carlos Moreno Martínez, Joaquín Recas Piorno:
Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration. 233 - Ekaba Bisong, Noor Jibril, Preethi Premnath, Elsy Buligwa, George Oboh, Adanna Chukwuma:
Predicting high blood pressure using machine learning models in low- and middle-income countries. 234 - Alexander Prokazyuk, Aidos Tlemissov, Marat Zhanaspayev, Sabina Aubakirova, Arman Mussabekov:
Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas. 235 - Umesh Kumar Lilhore, Sarita Simiaya, Musaed A. Alhussein, Neetu Faujdar, Surjeet Dalal, Khursheed Aurangzeb:
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis. 236 - Merve Gonca, Busra Beser Gul, Mehmet Fatih Sert:
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration? 237 - Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler, Sven Giesselbach:
From admission to discharge: a systematic review of clinical natural language processing along the patient journey. 238 - Mohammad Mousavi, Soodeh Hosseini:
A deep convolutional neural network approach using medical image classification. 239 - Abdullah Alharbi, Wael Alosaimi, Hashem Alyami, Bader Alouffi, Ahmed Almulihi, Mohd Nadeem, Mohd Asim Sayeed, Raees Ahmad Khan:
Selection of data analytic techniques by using fuzzy AHP TOPSIS from a healthcare perspective. 240 - Robin D. Blythe, Sundresan Naicker, Nicole M. White, Raelene Donovan, Ian A. Scott, Andrew McKelliget, Steven M. McPhail:
Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care. 241 - Tuong Minh Nguyen, Kim Leng Poh, Shu-Ling Chong, Jan Hau Lee:
Med-MGF: multi-level graph-based framework for handling medical data imbalance and representation. 242 - Hossein Ghalavand, Saeid Shirshahi, Alireza Rahimi, Zarrin Zarrinabadi, Fatemeh Amani:
Common data quality elements for health information systems: a systematic review. 243 - Yingxia Li, Tobias Herold, Ulrich Mansmann, Roman Hornung:
Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study. 244 - Ahmed Medhat Zayed, Arne Janssens, Pavlos Mamouris, Nicolas Delvaux:
lab2clean: a novel algorithm for automated cleaning of retrospective clinical laboratory results data for secondary uses. 245 - Mehdi Sharafi, Mohammad Ali Mohsenpour, Sima Afrashteh, Mohammad Hassan Eftekhari, Azizallah Dehghan, Akram Farhadi, Aboubakr Jafarnezhad, Abdoljabbar Zakeri, Mehdi Azizmohammad Looha:
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method. 246 - Maryam Mooghali, Austin M. Stroud, Dong Whi Yoo, Barbara A. Barry, Alyssa A. Grimshaw, Joseph S. Ross, Xuan Zhu, Jennifer E. Miller:
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review. 247 - Ömer Faruk Akmese:
Data privacy-aware machine learning approach in pancreatic cancer diagnosis. 248 - Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury:
Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3. 249 - Tala Mirzaei, Leila Amini, Pouyan Esmaeilzadeh:
Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications. 250 - Ziwei Fu, Jinwei Xi, Zhi Ji, Ruxue Zhang, Jianping Wang, Rui Shi, Xiaoli Pu, Jingni Yu, Fang Xue, Jianrong Liu, Yanrong Wang, Hua Zhong, Jun Feng, Min Zhang, Yuan He:
Analysis of anterior segment in primary angle closure suspect with deep learning models. 251 - Francesco Branda:
Harnessing computational tools of the digital era for enhanced infection control. 252 - Anna Janssen, Shah Kavisha, Melanie Keep, Tim Shaw:
Community perspectives on the use of electronic health data to support reflective practice by health professionals. 226 - Qian He, Song Hu, Jun xie, Hui Liu, Chong Li:
The red blood cell distribution width to albumin ratio was a potential prognostic biomarker for acute respiratory failure: a retrospective study. 253 - Nathan Kumasenu Mensah, Godwin Adzakpah, Jonathan Kissi, Kasim Abdulai, Hannah Taylor-Abdulai, Stephen Benyi Johnson, Christabell Opoku, Cephas Hallo, Richard Okyere Boadu:
Health professionals' perceptions of electronic health records system: a mixed method study in Ghana. 254 - Mohammad Al-Agil, Stephen J. Obee, Vlad Dinu, James T. Teo, David Brawand, Piers E. M. Patten, Anwar Alhaq:
Enhancing clinical data retrieval with Smart Watchers: a NiFi-based ETL pipeline for Elasticsearch queries. 255 - Yi Lyu, Hai-Mei Wu, Hai-Xia Yan, Rui Guo, Yu-Jie Xiong, Rui Chen, Wen-Yue Huang, Jing Hong, Rong Lyu, Yi-Qin Wang, Jin Xu:
Classification of coronary artery disease using radial artery pulse wave analysis via machine learning. 256 - Jingying Huang, Jin Yang, Haiou Qi, Xin Xu, Yiting Zhu, Miaomiao Xu, Yuting Wang:
Development and validation of a nomogram for predicting critical respiratory events during early anesthesia recovery in elderly patients. 257 - Florian Wurster, Christin Herrmann, Marina Beckmann, Natalia Cecon-Stabel, Kerstin Dittmer, Till Hansen, Julia Jaschke, Juliane Köberlein-Neu, Mi-Ran Okumu, Holger Pfaff, Carsten Rusniok, Ute Karbach:
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital-a longitudinal comparative document analysis. 258 - Chuanjia Yao, Rong Jiang, Bin Wu, Pinghui Li, Chenguang Wang:
A cross domain access control model for medical consortium based on DBSCAN and penalty function. 260 - Zahra Mehrbakhsh, Roghayyeh Hassanzadeh, Nasser Behnampour, Leili Tapak, Ziba Zarrin, Salman Khazaei, Irina Dinu:
Machine learning-based evaluation of prognostic factors for mortality and relapse in patients with acute lymphoblastic leukemia: a comparative simulation study. 261 - Amelia Hochreiter-Hufford, Jennifer Gatz, Amy M. Griggs, Ryan D. Schoch, Kimberly M. Birmingham, Christopher Frederick, John Price, Scott Snyder:
Real-world data to support post-market safety and performance of embolization coils: evidence generation from a medical device manufacturer and data institute partnership. 263 - Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury:
Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3. 249
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