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ORCIDICMHI 2024: Yokohama, Japan
- Proceedings of the 2024 8th International Conference on Medical and Health Informatics, ICMHI 2024, Yokohama, Japan, May 17-19, 2024. ACM 2024, ISBN 979-8-4007-1687-4
Session 1 - Medical Imaging and Biomedical Image Processing
- Vahdaneh Kiani
, Oliver Jäkel, Holger Fröning:
CLAIRE-ROP: Rapid Partitioning-based Deformable Image Registration on Multi-GPU Accelerator. 1-12 - Ai-Hsien Adams Li, Cristian Daniel Aruperes, Yen-Jun Lai, Ting-Ying Chien, Yen-Ling Chiu, Chien-Lung Chan:
Lung Nodule Analysis in CT Images: Deep Learning for Segmentation and Measurement. 13-17 - Yu-Wen Chen, Wen-Pei Wu, Hwa-Koon Wu, Dar-Ren Chen, Yu-Len Huang:
Tumor segmentation of breast tomosynthesis in breast-conserving surgery with deep learning. 18-23 - Bishwa Karki, Xin Zhong, Yu-Ting Chen, Chun-Hua Tsai:
Interpretable Classification of Myositis from Muscle Ultrasound Images. 24-29 - Kang-Syuan Peng, Ying-Kai Hsu, Hsiao-Huang Chang, Ting-Ying Chien:
Constructing Coronary Artery Vessel Segmentation Based on Deep Learning Models and Image Processing. 30-40 - Sungho Shim, Hyun-Lim Yang, Min-Soo Kim:
Comparison of self-supervised learning methods for optical coherence tomography image classification. 41-46 - Yi-Xiang Chen, Guan-Yu Shih, Hsien-Wei Ting, Ting-Ying Chien:
Base on GAN Combined with CNN Architecture to Generate Brain Stroke CT Images. 47-51 - Namya Musthafa, Mohammad Mehedy Masud, Qurban A. Memon:
Advancing Early-Stage Brain Tumor Detection with Segmentation by Modified_Unet. 52-57 - Prince Ebenezer Adjei, Obed Kojo Otoo, Jinlang Yang, Nini Rao:
Towards non-invasive biomarkers in colorectal cancer management: A study on integrating radiomics and deep learning-based image processing for tumor-stroma interaction. 58-64 - Chia-Pin Yi, Tzu-Fang Yang, Hsien-Wei Ting, Ting-Ying Chien:
Constructing an Automated Method for Interpreting Alzheimer's Disease Based on Deep Learning Models and Image Processing. 65-72 - Jun-Ci Chen, Chung-Yen Liao, Ming-Hui Chen, Tzu-Hsien Yu, Yu-Jie Lu, Yu-Chi Wang, Rung-Ching Chen:
Using Virtual Reality Technologies to Cope with Grief and Emotional Resilience of Absent Loved Ones. 73-77 - Hsien-Cheng Huang, Xiang-Wei Ke, Hsiao-Huang Chang, Ting-Ying Chien:
Development of Automated Detection Methods for Calculating Blood Vessel Width and Stenosis Rate in Cardiac Catheterization Imaging. 78-83
Session 2 - Digital Healthcare Services and Mobile Healthcare Applications
- Shu-Han Tang, Shu-Fang Lai, Wei-Po Lee:
Personalized Exercise Prescription Recommendation for Type 2 Diabetes Patients. 84-89 - Zain Magdon-Ismail, Thilanka Munasinghe:
Prototyping an Information System to Address Geographic Disparities in Cardiac Rehabilitation Access in the United States. 90-96 - Maria Tsirintani:
Challenges of the Healthcare Systems in promoting eHealth services during pandemic of Covid-19. 97-101 - Shin-Ming Cheng, Bo-Han Chang Chien, Wei-Hung Lin, Chin-Chi Fan, Chia-Yi Chen, Chen-Chien Liao:
A Highly Scalable Automated Universal Binary Malware Analysis Framework for Healthcare and Medical SaaS. 102-107 - Yae Won Tak, Ye-eun Park, Yura Lee:
Survival Analysis of mHealth App Engagement among Cancer Patients. 108-111 - Shanhong Li, Junyi Wu, Yanting Chu, Jie Tang, Huiqun Wu:
DRDTx: A digital evidence artifacts framework for diabetic retinopathy management. 112-115 - Shu-Fen Tseng, Chia-Hsuan Chung:
Demographic differences in telemedicine adoption during the COVID-19 pandemic in Taiwan. 116-119 - Philip Hong Wei Jiang, William Yu Chung Wang, Tiong-Thye Goh, Chih-Chia Hsieh:
System Integration Framework for Implementing a Machine Learning-Driven Clinical Decision Support System in Emergency Departments. 120-126 - Hung-Hsuan Chung, Hsiu-Fen Hsieh, Yan-Jie Jian, Sheng-Chun Hsueh, Tyng-Yeu Liang:
An Integrated Rehabilitation APP for Stroke Patients. 127-132 - Pedro Reisinho, Rui Raposo, Nelson Zagalo, Óscar Ribeiro:
Interactive Narrative in Virtual Reminiscence Therapy to Stimulate Memory and Communication in People with Dementia. 133-137
Session 3 - Biomedical Signal Processing and Bioinformatics
- ManChin Chen, ChengI Chen:
Atrial Fibrillation Detection in Single-Lead ECG Signals: A Comparative Study of CNN with LSTM and Residual Neural Network Models. 138-142 - Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Md. Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner:
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. 143-152 - Chu-Hui Lee, Bo-Yu Jiang, Chun-Ming Huang, Chien-Ming Wu:
Apply 2D convolution kernels on EEGNet to improve classification accuracy. 153-157 - Aya Nour, Rafaa Alalwani, Sara Alresheq, Muhammad Arif, Tanvir Alam:
Differential Methylation Analysis in Normal Breast Tissue Contralateral to Tumour Reveals PROM1 As a Potential Prognostic Biomarker. 158-163 - Yuan Ma, Jeffrey Keith Spaneas Bland, Gaku Yoshikawa, Tsutomu Fujinami:
Quantifying Consciousness for Alzheimer's Disease Diagnosis through Electroencephalogram Processing. 164-168 - Purevdolgor Luvsantseren, Khenmedekh Lochin, Ajnai Luvsan:
Stability Analysis of Dynamic P53-MDM2 with Time Delay. 169-174 - Hend Ghassan Eldous, Maryiam Jama Ali Osman, Syed Abdullah Basit, Muhammad Arif, Tanvir Alam:
In Silico Analysis of Pathogenic Missense Mutation in GBA protein for Gaucher Disease. 175-180 - Yuanhua Hung, Liang-Tsung Huang:
Discovering new biomarkers of primary liver cancer by establishing an mRNA-miRNA-lncRNA network. 181-185
Session 4 - Computer-Aided Diagnosis and Computational Models for Disease Prediction
- Abdel Rahman Alsaify, Aisha Siam, Hudhaifa Hassan, Mahmood Alzubaidi, Mowafa S. Househ:
The Use of Deep Learning in the Diagnosis and Prediction of Heart Failure: A scoping review. 186-192 - Li-Ting Lo, Yi-Chia Tsai, Yi-Jou Chang, Hsien-Wei Ting, Ting-Ying Chien:
Constructing a Segmentation Model for Patients with Leukoaraiosis Using Deep Learning Algorithms. 193-199 - Shumei Miao, Rongrong Sheng, Jing Mang, Zhongmin Wang, Guanyu Yang:
A Post-structured Analysis of Chinese Thyroid Ultrasound Report Based on Natural Language Processing Technology and TI-RADS Mode. 200-204 - Yu-Ju Huang, Tzu-Jung Chen, Yi-Shiou Tseng, Ting-Ying Chien:
Predicting Types of Urinary Crystals and Diameter Using Image Processing Techniques and Deep Learning Models. 205-211 - Moomal Farhad, Mohammad M. Masud:
Automated LVH Grading: Integration of Deep Learning and Explainable AI for Accurate Diagnosis. 212-218 - Shih-Huan Lin, Min-Ling Chuang, Ya-Wen Xu, Yen-Wei Chu:
Based on deep feature extraction non-invasive bladder cancer prediction system. 219-223
Session 5 - Intelligent Models and Statistical Analysis for Medical Data Processing and Medical Resource Allocation
- Nina Hosseini-Kivanani, Elena Salobrar-García, Lorena Elvira-Hurtado, Inés López-Cuenca, Rosa de Hoz, José M. Ramírez, Pedro Gil, Mario Salas-Carrillo, Christoph Schommer, Luis A. Leiva:
Ink of Insight: Data Augmentation for Dementia Screening through Handwriting Analysis. 224-229 - Arti Devi, Shashank Uttrani, Aryansh Singla, Sarthak Jha, Nataraj Dasgupta, Sayee Natarajan, Rajeshwari S. Punekar, Larry A. Pickett, Varun Dutt:
Quantitative Analysis of GPT-4 model: Optimizing Patient Eligibility Classification for Clinical Trials and Reducing Expert Judgment Dependency. 230-237 - Hao-Ting Pai, Wen-Cheng Chung, Xin-Hong Fang, Yu-Hsin Hsu, Shu-Ting Huang:
The Explainable Analytics for Exploring Misdiagnoses. 238-243 - Chin-Feng Lee, Ting-Yu Kang, Iuon-Chang Lin:
Dual Medical-Image Reversible Data Embedding Method with Vector Directions. 244-250 - Andrea Fidecicchi, Teresa Angela Trunfio, Antonio D'Amore, Maria Pia Mannelli, Arianna Scala:
Empowering Patient Risk Management Strategies: Validation the AHRQ Elixhauser Mortality Index on Italian Hospital Administrative Dataset. 251-255 - Ruiming Li, Eiryo Kawakami:
BARToM: a Transformer-based approach for multimodal electronic health records transformation. 256-261 - Li-Chin Chen, Jung-Nien Lai, Hung-En Lin, Hsien-Te Chen, Kuo-Hsuan Hung, Yu Tsao:
Prognosticating Lumbar Spinal Surgery Outcomes for Low Back Pain and Sciatica Patients by Utilizing Preoperative Assessments from Western and Eastern Medicine and Multimodal Fusion Learning Techniques. 262-267 - Teresa Angela Trunfio, Arianna Scala, Giovanni Improta:
The analysis of COVID-19's Effects on Emergency Department-LOS using LSS approach and Machine Learning. 268-274 - Chin-Feng Lee, Tzu-Ching Tsai, Iuon-Chang Lin:
The Study of Reversible Data Hiding with Contrast Enhancement for Medical Images. 275-280 - Frank Shou-Cheng Tseng, Annie Yun-Huan Chou:
Temporal Data Processing: Problems, Realities and Perspectives - A Practical Look. 281-285 - Ying Zhang, Chenghan Wang, Yang Xu, Xue Jiang:
Impact Analysis of Tiered Healthcare Based on Tripartite Evolutionary Game. 286-290 - Arianna Scala, Teresa Angela Trunfio, Giovanni Improta:
Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS. 291-297
Session 6 - Epidemiological Modeling and Information Epidemiology
- Chinmayee Rayguru, Emily Chia-Yu Su:
Assessing the Mental Health Impact of COVID-19 on the US Population: A Large-Scale Survey Analysis Using SMOTE. 298-303 - James Xinjing Liu, Arthi Seetharaman, Rohan Reddy Thumma, Brianna Lopez, Alecia Bailey:
Cholera Outbreak Analysis in Sub-Saharan Africa. 304-310 - Jarne Verhaeghe, Thomas De Corte, Jan J. De Waele, Femke Ongenae, Sofie Van Hoecke:
Designing a Pharmacokinetic Machine Learning Model for Optimizing Beta-Lactam Antimicrobial Dosing in Critically Ill Patients. 311-317 - Yuchen Wang, Zhengyu Fang, Wei Du, Shuai Xu, Rong Xu, Jing Li:
Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network. 318-324 - David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne:
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19. 325-331 - Wenbo Li, Yanmei Li:
The Effect of Group Affiliation Motive on Unethical Behaviors: A Moderated Mediation Model. 332-337
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