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ORCIDBMC Medical Informatics & Decision Making, Volume 23
Volume 23, Number 1, December 2023
- Michael Beil, P. Vernon van Heerden
, Dylan W. De Lange, Wojciech Szczeklik, Susannah Leaver, Bertrand Guidet, Hans Flaatten, Christian Jung, Sigal Sviri, Leo Joskowicz:
Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care. 1 - Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric Meier, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty, Jeffrey G. Jarvik:
Predicting decompression surgery by applying multimodal deep learning to patients' structured and unstructured health data. 2 - Min-hyung Kim, Sojung Park, Yu Rang Park, Wonjun Ji, Seul-gi Kim, Minji Choo, Seung-sik Hwang, Jae Cheol Lee, Hyeong Ryul Kim, Chang Min Choi:
Stratifying non-small cell lung cancer patients using an inverse of the treatment decision rules: validation using electronic health records with application to an administrative database. 3 - Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Bjørn Erik Munkvold, Anna Linda Ruthjersen, Jivitesh Sharma:
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. 5 - Abdollah Safari, John Petkau, Mark J. FitzGerald, Mohsen Sadatsafavi:
A parametric model to jointly characterize rate, duration, and severity of exacerbations in episodic diseases. 6 - Jie Zhang, Zong-ming Zhang:
Ethics and governance of trustworthy medical artificial intelligence. 7 - Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros C. Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow, Venexia Walker, William Whiteley, Angela M. Wood, Ashley Akbari:
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. 8 - Shimels Derso Kebede, Yakub Sebastian, Abraham Yeneneh, Ashenafi Fentahun Chanie, Mequannent Sharew Melaku, Agmasie Damtew Walle:
Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach. 9 - Azadeh Bashiri, Mohammad Shirdeli, Fatemeh Niknam, Soheila Naderi, Sahar Zare:
Evaluating the success of Iran Electronic Health Record System (SEPAS) based on the DeLone and McLean model: a cross-sectional descriptive study. 10 - Mushtaq Hussain, Mehmet Akif Cifci, Tayyaba Sehar, Said Nabi, Omar Cheikhrouhou, Hasaan Maqsood, Muhammad Ibrahim, Fida Mohammad:
Machine learning based efficient prediction of positive cases of waterborne diseases. 11 - Ricardo M. S. Carvalho, Daniela Oliveira, Catia Pesquita:
Knowledge Graph Embeddings for ICU readmission prediction. 12 - Na Liang, Chengliang Wang, Shiying Li, Xin Xie, Jun Lin, Wen Zhong:
The classification of flash visual evoked potential based on deep learning. 13 - Aynaz Nourani, Haleh Ayatollahi, Masoud Solaymani-Dodaran:
Data management system for diabetes clinical trials: a pre-post evaluation study. 14 - Chao Mao, Quanjing Zhu, Rong Chen, Weifeng Su:
Automatic medical specialty classification based on patients' description of their symptoms. 15 - Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz, Sharareh R. Niakan Kalhori:
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques. 16 - Alireza Banaye Yazdipour, Soheila Saeedi, Hassan Bostan, Hoorie Masoorian, Hasan Sajjadi, Marjan Ghazisaeedi:
Opportunities and challenges of virtual reality-based interventions for patients with breast cancer: a systematic review. 17 - Amir Torab-Miandoab, Taha Samad-Soltani, Ahmadreza Jodati, Peyman Rezaei-Hachesu:
Interoperability of heterogeneous health information systems: a systematic literature review. 18 - Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu, Bruce Mellado:
Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. 19 - Shaina Raza, Brian Schwartz:
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach. 20 - Fahimeh Kharaman-nia, Habibolah Rezaei, Narges Roustaei, Peyman Etemadfar, Nazafarin Hosseini:
Comparing the effects of self- care education by lecture and smartphone application on self-efficacy of patients with thalassemia. 21 - Dan Thorpe, Jörg Strobel, Niranjan Bidargaddi:
Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems. 22 - Fatemeh Bagheri, Faezeh Abbasi, Mojtaba Sadeghi, Reza Khajouei:
Evaluating the usability of a cancer registry system using Cognitive Walkthrough, and assessing user agreement with its problems. 23 - Quang Huy Nguyen, Damien K. Ming, An Phuoc Luu, Ho Q. Chanh, Dong Thi Hoai Tam, Nguyen Thanh Truong, Vo Xuan Huy, Bernard Hernandez, Jennifer Ilo Van Nuil, Chris Paton, Pantelis Georgiou, Nguyet Minh Nguyen, Alison H. Holmes, Phan Vinh Tho, Sophie Yacoub:
Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools. 24 - Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström, Ulf Ekelund:
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation. 25 - Yasuhiko Miyachi, Osamu Ishii, Keijiro Torigoe:
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process. 26 - Pinar Tokgöz, Jessica Hafner, Christoph Dockweiler:
Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review. 27 - Donghyeong Seong, Yoon Ho Choi, Soo Young Shin, Byoung-Kee Yi:
Deep learning approach to detection of colonoscopic information from unstructured reports. 28 - Charlotte James, Richard Wood, Rachel Denholm:
A multi-granular stacked regression for forecasting long-term demand in Emergency Departments. 29 - Kidane Tadesse Gebremariam, Afework Mulugeta, Danielle Gallegos:
Co-design and implementation of a mHealth intervention targeting fathers and mothers to improve breastfeeding. 30 - Orivaldo Alves Barbosa, Edgar Marçal, David Augusto Batista Sá Araújo, Lucas Severo Melo, Hermano Alexandre Lima Rocha:
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation. 31 - Li hua, Mu Dongmei, Yang Xinyu, Zhang Xinyue, Wang Shutong, Wang Dongxuan, Peng Hao, Wang Ying:
Research on outpatient capacity planning combining lean thinking and integer linear programming. 32 - Yimin Cai, Yuqing Long, Zhenggong Han, Mingkun Liu, Yuchen Zheng, Wei Yang, Liming Chen:
Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution. 33 - Qi Ye, Tingting Cai, Xiang Ji, Tong Ruan, Hong Zheng:
Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts. 34 - Amir Torab-Miandoab, Mehdi Poursheikh Asghari, Nastaran Hashemzadeh, Reza Ferdousi:
Analysis and identification of drug similarity through drug side effects and indications data. 35 - Albert Burger, Richard A. Baldock, David J. Adams, Shahida Din, Irene Papatheodorou, Michael Glinka, Bill Hill, Derek Houghton, Mehran Sharghi, Michael N. Wicks, Mark J. Arends:
Towards a clinically-based common coordinate framework for the human gut cell atlas: the gut models. 36 - Nevin Hammam, Ali Bakhiet, Eiman Abd El-Latif, Iman I. El-Gazzar, Nermeen Samy, Rasha A. Abdel Noor, Emad El-Shebeiny, Amany R. El-Najjar, Nahla N. Eesa, Mohamed N. Salem, Soha E. Ibrahim, Dina F. El-Essawi, Ahmed M. Elsaman, Hanan M. Fathi, Rehab A. Sallam, Rawhya R. El Shereef, Faten Ismail, Mervat I. Abd-Elazeem, Emtethal A. Said, Noha M. Khalil, Dina Shahin, Hanan M. El-Saadany, Marwa ElKhalifa, Samah I. Nasef, Ahmed M. Abdalla, Nermeen Noshy, Rasha M. Fawzy, Ehab Saad, Abdelhafeez Moshrif, Amira T. El-Shanawany, Yousra H. Abdel-Fattah, Hossam Mohammad Khalil, Osman Hammam, Aly Ahmed Fathy, Tamer A. Gheita:
Development of machine learning models for detection of vision threatening Behçet's disease (BD) using Egyptian College of Rheumatology (ECR)-BD cohort. 37 - Sarah Sauchelli, Tim Pickles, Alexandra Voinescu, Heungjae Choi, Ben Sherlock, Jingjing Zhang, Steffi L. Colyer, Sabrina Grant, Sethu Sundari, Gemma Lasseter:
Public attitudes towards the use of novel technologies in their future healthcare: a UK survey. 38 - Miho Fujita, Yuki Yonekura, Kazuhiro Nakayama:
The factors affecting implementing shared decision-making in clinical trials: a cross-sectional survey of clinical research coordinators' perceptions in Japan. 39 - Vipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Ling Zheng, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl:
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. 40 - Ajit Narayanan, Wendy L. Magee, Richard J. Siegert:
Machine learning and network analysis for diagnosis and prediction in disorders of consciousness. 41 - Ruth Pel-Littel, Bianca M. Buurman, Marjolein H. van de Pol, Jos W. R. Twisk, Linda R. Tulner, Mirella M. Minkman, Wilma J. M. Scholte op Reimer, Julia C. M. van Weert:
Effects of a shared decision making intervention for older adults with multiple chronic conditions: the DICO study. 42 - Chao Yu, Qikai Huang:
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning. 43 - Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis:
Personalized hypertension treatment recommendations by a data-driven model. 44 - Mahboobeh Parsapoor, Muhammad Raisul Alam, Alex Mihailidis:
Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities. 45 - Ganesh Raman, Bilal Ashraf, Yusuf Kemal Demir, Corey D. Kershaw, Sreekanth Cheruku, Murat Atis, Ahsen Atis, Mustafa Atar, Weina Chen, Ibrahim Ibrahim, Taha Bat, Mutlu Mete:
Machine learning prediction for COVID-19 disease severity at hospital admission. 46 - Jyu-Lin Chen, Chen-Xi Lin, Mijung Park, Jerry John Nutor, Rosalind de Lisser, Thomas J. Hoffmann, Hannah J. Kim:
Rapid response nursing triage outcomes for COVID-19: factors associated with patient's participation in triage recommendations. 47 - Andrey G. Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya, Nadezhda Vyatkina:
Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation. 48 - Rui Chen, Shengfa Zhang, Jie Li, Dongwei Guo, Weijun Zhang, Xiaoying Wang, Donghua Tian, Zhiyong Qu, Xiaohua Wang:
A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm. 49 - Ying Xing, Xuekai Liu, Juhua Dai, Xiaoxing Ge, Qingchen Wang, Ziyu Hu, Zhicheng Wu, Xuehui Zeng, Dan Xu, Chenxue Qu:
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood. 50 - Geletaw Sahle Tegenaw, Demisew Amenu, Girum Ketema, Frank Verbeke, Jan Cornelis, Bart Jansen:
Evaluating a clinical decision support point of care instrument in low resource setting. 51 - Sergio Zepeda-Gómez, Andrea Dávila-Cervantes, Aldo J. Montaño-Loza, David Yang, Daniel C. Baumgart, Karen I. Kroeker, Brendan P. Halloran:
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy. 52 - Cheng-Mao Zhou, Ying Wang, Jian-Jun Yang, Yu Zhu:
Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology. 53 - Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi, Hadi Kazemi-Arpanahi:
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study. 54 - Qing Li, Song He:
Similarity matching of medical question based on Siamese network. 55 - Ji Hoon Kim, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim, Hyuk-Jae Chang:
Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study. 56 - Tamara L. Morgan, Jensen Pletch, Emma Faught, Michelle S. Fortier, Mary Kate Gazendam, Kelly Howse, Rahul Jain, Kirstin N. Lane, Kaleigh Maclaren, Taylor McFadden, Jeanette C. Prorok, Zachary J. Weston, Jennifer R. Tomasone:
Developing and testing the usability, acceptability, and future implementation of the Whole Day Matters Tool and User Guide for primary care providers using think-aloud, near-live, and interview procedures. 57 - Baiming Zou, Xinlei Mi, Elizabeth Stone, Fei Zou:
A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants. 58 - Xiaoya Lu, Hang Qiu:
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning. 59 - Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh, Christopher Hoyte:
Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System. 60 - Liang Shen, You Zhai, Xiang Pan, Qingwei Zhao, Min Zhou, Jian Liu:
Development of an integrated and comprehensive clinical trial process management system. 61 - Jiangtao Lu, Kaibiao Lin, Ruicong Chen, Min Lin, Xin Chen, Ping Lu:
Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism. 62 - Markus Huber, Patrick Schober, Sven Petersen, Markus M. Luedi:
Decision curve analysis confirms higher clinical utility of multi-domain versus single-domain prediction models in patients with open abdomen treatment for peritonitis. 63 - Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan, Chenghao Piao:
Accurate breast cancer diagnosis using a stable feature ranking algorithm. 64 - Rebecca Rayner, Joanne Shaw, Caroline Hunt:
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression. 65 - Rosie Dobson, Helen Wihongi, Robyn Whittaker:
Exploring patient perspectives on the secondary use of their personal health information: an interview study. 66 - Dimislav Ivanov Andonov, Bernhard Ulm, Martin Graessner, Armin Horst Podtschaske, Manfred Blobner, Bettina Jungwirth, Simone Maria Kagerbauer:
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality. 67 - Aaron C. Miller, Joseph E. Cavanaugh, Alan T. Arakkal, Scott H. Koeneman, Philip M. Polgreen:
A comprehensive framework to estimate the frequency, duration, and risk factors for diagnostic delays using bootstrapping-based simulation methods. 68 - Mingxuan Jia, Jieyi Li, Jingying Zhang, Ningjing Wei, Yating Yin, Hui Chen, Shixing Yan, Yong Wang:
Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning. 69 - Mariana Oliveira, Joana Seringa, Fausto José Pinto, Roberto Henriques, Teresa Magalhães:
Machine learning prediction of mortality in Acute Myocardial Infarction. 70 - Shu-gen Xiao, Fan Liu, Liyuan Yu, Xiaopei Li, Xihong Ye, Xingrui Gong:
Development and validation of a nomogram for blood transfusion during intracranial aneurysm clamping surgery: a retrospective analysis. 71 - Kamran Mehrabani-Zeinabad, Awat Feizi, Masoumeh Sadeghi, Hamidreza Roohafza, Mohammad Talaei, Nizal Sarrafzadegan:
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region. 72 - Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero, Nina Hallowell:
The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions. 73 - Xuhai Zhao, Cong Jiang:
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model. 74 - Daniel Niguse Mamo, Tesfahun Melese Yilma, Makida Fekadie, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle:
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022. 75 - Dongmei Tang, Haiyan Wang, Dantong Gu, Lei Ye, Shan Sun, Huawei Li:
The fudan tinnitus relieving system application for tinnitus management. 76 - Ehsan Nabovati, Mehrdad Farzandipour, Zahra Vahedpoor, Hossein Akbari, Shima Anvari, Reihane Sharif, Farhad Fatehi:
Pregnant women's use and attitude toward Mobile phone features for self-management. 77 - Mukul Aggarwal, Amod Kumar Tiwari, M. Partha Sarathi, Anchit Bijalwan:
An early detection and segmentation of Brain Tumor using Deep Neural Network. 78 - Yifei Wang, Julia Xu, Jie Zhang, Hong Xu, Yuzhong Sun, Yuan Miao, Tiancai Wen:
SIAP: an intelligent algorithm for multiple prescription pattern recognition based on weighted similarity distances. 79 - Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory. 80 - Tianlai Lin, Xinjue Zhang, Jianbing Gong, Rundong Tan, Weiming Li, Lijun Wang, Yingxia Pan, Xiang Xu, Junhui Gao:
A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients. 81 - Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen, Changliang Wu:
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model. 82 - Sherine Sandhu, Martha Hickey, Raelia Lew, Karin Hammarberg, Sabine Braat, Franca Agresta, Anna Parle, Catherine Allingham, William Ledger, Jane Fisher, Louise Johnson, Janet Michelmore, Fiona Summers, Roger Hart, Robert J. Norman, Devora Lieberman, Richard A. Anderson, Michelle Peate:
The development and phase 1 evaluation of a Decision Aid for elective egg freezing. 83 - Maryam Seyedtabib, Naser Kamyari:
Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms. 84 - Rudolf N. Cardinal, Anna Moore, Martin Burchell, Jonathan R. Lewis:
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation. 85 - Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu:
Ontology-driven and weakly supervised rare disease identification from clinical notes. 86 - Xubing Hao, Rashmie Abeysinghe, Kirk Roberts, Licong Cui:
Logical definition-based identification of potential missing concepts in SNOMED CT. 87 - Ling Zheng, Yehoshua Perl, Yongqun He:
Big knowledge visualization of the COVID-19 CIDO ontology evolution. 88 - Arthur Mai, Karen Voigt, Jeannine Schübel, Felix Gräßer:
A drug recommender system for the treatment of hypertension. 89 - Shuxin Zhang, Nirupama Benis, Ronald Cornet:
Automated approach for quality assessment of RDF resources. 90 - Petra V. Lostelius, Magdalena Mattebo, Eva Thors Adolfsson, Anne Söderlund, Mikael Andersén, Sofia Vadlin, Åsa Revenäs:
Development and usability evaluation of an electronic health report form to assess health in young people: a mixed-methods approach. 91 - Peng Sun, Zengnan Mo, Fangrong Hu, Xin Song, Taiping Mo, Bonan Yu, Yewei Zhang, Zhencheng Chen:
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation. 92 - Tongtong Huang, Linda T. Li, Elmer V. Bernstam, Xiaoqian Jiang:
Confidence-based laboratory test reduction recommendation algorithm. 93 - Marcel Parciak, Markus Suhr, Christian Schmidt, Caroline Bönisch, Benjamin Löhnhardt, Dorothea Kesztyüs, Tibor Kesztyüs:
FAIRness through automation: development of an automated medical data integration infrastructure for FAIR health data in a maximum care university hospital. 94 - Motti Haimi:
The tragic paradoxical effect of telemedicine on healthcare disparities- a time for redemption: a narrative review. 95 - Wenna Chen, Yixing Wang, Yuhao Ren, Hongwei Jiang, Ganqin Du, Jincan Zhang, Jinghua Li:
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy. 96 - Pieter Van Bostraeten, Bert Aertgeerts, Geertruida Bekkering, Nicolas Delvaux, Anna Haers, Matisse Vanheeswyck, Alexander Vandekendelaere, Niels Van der Auwera, Charlotte Dijckmans, Elise Ostyn, Willem Soontjens, Wout Matthysen, Noémie Schenk, Lien Mertens, Jasmien Jaeken, Thomas Agoritsas, Mieke Vermandere:
Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care. 97 - Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Leja Hamza Juhar, Mahteme Bekele Muleta:
Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia. 98 - Dejia Zhou, Hang Qiu, Liya Wang, Minghui Shen:
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning. 99 - Claudia Luck-Sikorski, Regine Hochrein, Nina Döllinger, Carolin Wienrich, Kathrin Gemesi, Sophie L. Holzmann, Christina Holzapfel, Natascha-Alexandra Weinberger:
Digital communication and virtual reality for extending the behavioural treatment of obesity - the patients' perspective: results of an online survey in Germany. 100 - Gamal Saad Mohamed Khamis, Sultan Munadi Alanazi:
Exploring sex disparities in cardiovascular disease risk factors using principal component analysis and latent class analysis techniques. 101 - Omid Mehrpour, Christopher Hoyte, Samaneh Nakhaee, Bruno Megarbane, Foster Goss:
Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures. 102 - Tayebeh Baniasadi, Mehdi Hassaniazad, Sharareh Rostam Niakan Kalhori, Mehraban Shahi, Marjan Ghazisaeedi:
Developing a mobile health application for wound telemonitoring: a pilot study on abdominal surgeries post-discharge care. 103 - Xiaoquan Gao, Sabriya Alam, Pengyi Shi, Franklin Dexter, Nan Kong:
Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach. 104 - Jatin Goyal, Ding Quan Ng, Kevin Zhang, Alexandre Chan, Joyce Lee, Kai Zheng, Keri Hurley-Kim, Lee Nguyen, Lu He, Megan Nguyen, Sarah McBane, Wei Li, Christine Luu Cadiz:
Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study. 105 - Saman Mortezaei, Reza Rabiei, Farkhondeh Asadi, Hassan Emami:
Development and usability evaluation of a mHealth application for albinism self-management. 106