Machine Learning

Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis

Joshua Kuan Tan, Le Quan, Hao Yi Tan, Su-Yen Goh, Julian Thumboo, Marianne Au, Yong Mong Bee, Jen Hong Tan

JMIR Med Inform 2026 (Feb 20); 14:e77202

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Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review

Xudong Wang, Yi Xie, Xiaoliang Chen, Jiaming Yang, Ruiyuan Li, Weihang Gao, Zineng Yan, Hong Zhou, Zhewei Ye

J Med Internet Res 2026 (Feb 19); 28:e79052

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Analysis of Associated Factors and Construction of Risk Prediction Models for Frailty in Hospitalized Older Adults Living With HIV: Protocol for a Prospective Observational Study

Fan Li, Chaoying Xie, Fang Xiang

JMIR Res Protoc 2026 (Feb 19); 15:e84271

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Survival Prediction in Patients With Bladder Cancer Undergoing Radical Cystectomy Using a Machine Learning Algorithm: Retrospective Single-Center Study

Francesco Andrea Causio, Vittorio De Vita, Andrea Nappi, Melissa Sawaya, Bernardo Rocco, Nazario Foschi, Giuseppe Maioriello, Pierluigi Russo

JMIR Perioper Med 2026 (Feb 19); 9:e86666

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AI-Generated Images of Substance Use and Recovery: Mixed Methods Case Study

Kathryn Heley, Jeffrey K Hom, Linnea Laestadius

JMIR AI 2026 (Feb 19); 5:e81977

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Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study

Hao-Wei Chen, Pei-Siou Wei, Yu-Chen Chen, Jeng-Yih Wu, Chia-I Lin, Yii-Her Chou, Yung-Shun Juan, Wen-Jeng Wu, Chung-Yao Kao, Jung-Ting Lee

JMIR Med Inform 2026 (Feb 19); 14:e80764

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Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review

Hae Young Yoo, Hyerim Shin, Eun-Jung Kim, Youn-Jung Son

J Med Internet Res 2026 (Feb 19); 28:e85654

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Assessment of Predictive Factors That Shorten Duration of Treatment in Patients With Multiple Myeloma Using AI: Real-World Longitudinal Study Using Data From Medical Data Vision Claims Database

Hiroshi Handa, Tadao Ishida, Shuji Ozaki, Shinsuke Iida, Kittima Wattanakamolkul, Chika Sakai, Kenichi Kato, David Bin-Chia Wu, DaeYoung Yu, Shota Nemoto, Yasuho Yamashita, Takuma Shibahara

JMIR Cancer 2026 (Feb 19); 12:e75586

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Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study

Xingyi Liu, Muskan Garg, Maria Vassilaki, Jennifer St Sauver, Ronald C Petersen, Momin M Malik, Chung Il Wi, Young J Juhn, Sunghwan Sohn

JMIR Med Inform 2026 (Feb 17); 14:e80405

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Research on the Prediction of Coal Workers’ Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study

Haiquan Li, Jiaqi Jia, Xu Shi, Yudie Dong, Songquan Wang, Yuming Cui, Wenlu Hang, Dekun Zhang

JMIR Med Inform 2026 (Feb 13); 14:e80156

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Machine Learning for Predicting Venous Thromboembolism After Joint Arthroplasty: Systematic Review of Clinical Applicability and Model Performance

Junwei Ma, Huifeng Tang, Yunshan Zhang, Xuemei Yi, Tangsheng Zhong, Xinyun Li, Gang Wang

JMIR Med Inform 2026 (Feb 12); 14:e79886

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Evaluation of Large Language Models for Peer Review in Transplantation Research: Algorithm Validation Study

Selena Ming Shen, Zifu Wang, Krittika Paul, Meng-Hao Li, Xiao Huang, Naoru Koizumi

JMIR AI 2026 (Feb 11); 5:e84322

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Large Language Models for Health Care Text Classification: Systematic Review

Hajar Sakai, Sarah S Lam

JMIR AI 2026 (Feb 11); 5:e79202

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Early Prediction of Delirium in Postcardiac Surgery Patients: Machine Learning Model Development and External Validation

Huixiu Hu, Yuxiang Wang, Houfeng Li, Qinglai Zang, Jing Huang, Ying Zhang, Jinjing Wu, Long Liu, Zhen Xing, Yaohua Yu

JMIR Med Inform 2026 (Feb 11); 14:e73283

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Text-Based Depression Estimation Using Machine Learning With Standard Labels: Systematic Review and Meta-Analysis

Shengming Zhang, Chaohai Zhang, Jiaxin Zhang

J Med Internet Res 2026 (Feb 11); 28:e82686

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Exploring Self-Management–Based Mobile Health User Typologies and Associations Between User Types and Satisfaction With Key Mobile Health Functions: Comparative Study of Various Fitness and Weight Management App User Types

Tong Wang, Yiwen Fan, Zheng Li, Xiaoyi Jiao, Qichuan Fang, Junhao Ma, Jianbo Lei

JMIR Med Inform 2026 (Feb 10); 14:e64860

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Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models

Shilpa Garg, Robert Kitchen, Ramneek Gupta, Emanuele Trucco, Ewan Pearson

JMIR Diabetes 2026 (Feb 06); 11:e82635

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Enhancing Anesthetic Depth Assessment via Unsupervised Machine Learning in Processed Electroencephalography Analysis: Novel Methodological Study

Po-Yu Huang, Wei-Lun Hong, Hui-Zen Hee, Wen-Kuei Chang, Ching-Hung Lee, Chien-Kun Ting

JMIR Med Inform 2026 (Feb 06); 14:e77830

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Advancing Psychiatric Safety With the Predictive Risk Identification for Mental Health Events Tool: Retrospective Cohort Study

Elham Dolatabadi, Valentina Tamayo Velasquez, Abdul Hamid Dabboussi, David Wen, Jennifer Crawford, Andrea E Waddell, Christo El Morr

JMIR Ment Health 2026 (Feb 06); 13:e84318

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Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods

Ohoud Almadani, Yasser Albogami, Adel Alrwisan

JMIR Med Inform 2026 (Feb 04); 14:e79869

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