Machine Learning

Articles published in 2025 in this theme: 588 (scroll down to load remaining articles)

2025

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Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review

Hwayoung Cho, Jiyoun Song, Hannah Cho, Lin Li, Renjie Liang, Railton Miranda, Qianqian Song, Jiang Bian

JMIR Aging 2025 (Dec 31); 8:e80433

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Predicting Atrial Fibrillation Ablation Outcomes: Machine Learning Model Development and Validation Using a Large Administrative Claims Database

Yijun Liu, Mustapha Oloko-Oba, Kathryn A Wood, Michael S Lloyd, Joyce C Ho, Vicki Stover Hertzberg

JMIR Cardio 2025 (Dec 31); 9:e77380

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Predictive Value of Machine Learning in Knee Osteoarthritis Progression: Systematic Review and Meta-Analysis

Yanwen Liu, Guangzhi Xiao, Youqun Zhang, Xinyi Wang, Junfeng Jia, Aiguo Xie, Zhaohui Zheng, Kui Zhang

J Med Internet Res 2025 (Dec 30); 27:e80430

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Predicting Ultra-High Risk Outcomes Using Linguistic and Acoustic Measures From High-Risk Social Challenge Recordings: mHealth Longitudinal Cohort Exploratory Study

Samuel Ming Xuan Tan, May Yen Lieu, Jun Kai, Zixu Yang, Luke KK, May O Lwin, Jimmy Lee, Wilson Wen Bin Goh

JMIR Form Res 2025 (Dec 30); 9:e75960

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Prediction of Respiratory Decompensation in Patients Receiving Home Mechanical Ventilation: Machine Learning Model Development and Validation Study

Nerea Berbel Casado, Francesc López Seguí, Natalia Muñoz Moruno, Antoni Rosell, Aïda Muñoz Ferrer, Ignasi Garcia Olive, Marina Galdeano Lozano

JMIR Form Res 2025 (Dec 30); 9:e78941

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Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models

Tabinda Sarwar, Antonio José Jimeno Yepes, Lawrence Cavedon

J Med Internet Res 2025 (Dec 30); 27:e73325

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Predicting Left Ventricular Ejection Fraction Recovery After Percutaneous Coronary Intervention in Patients With Chronic Coronary Syndrome by Using Interpretable Machine Learning Models: Retrospective Study

Jiayi Ding, Guanqi Lyu, Masaharu Nakayama, Kotaro Nochioka, Jun Takahashi, Satoshi Yasuda, Tetsuya Matoba, Takahide Kohro, Naoyuki Akashi, Hideo Fujita, Yusuke Oba, Tomoyuki Kabutoya, Kazuomi Kario, Yasushi Imai, Arihiro Kiyosue, Yoshiko Mizuno, Takamasa Iwai, Yoshihiro Miyamoto, Masanobu Ishii, Kenichi Tsujita, Taishi Nakamura, Hisahiko Sato, Ryozo Nagai

JMIR Med Inform 2025 (Dec 29); 13:e77839

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Evaluating Multiple Input Strategies of Large Language Models for Gallbladder Polyps on Ultrasound: Comparative Study

Lin Jiang, Jiaqian Yao, Zebang Yang, Fuqiu Tang, Xin Zheng, Xiaoer Zhang, Xiaoyan Xie, Ming Xu, Tongyi Huang

JMIR Med Inform 2025 (Dec 23); 13:e71178

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Machine Learning in the Prediction of Venous Thromboembolism: Systematic Review and Meta-Analysis

Ruyi Ma, Weifeng Yu, Jian Tian, Yunyan Tang, Hua Fang, Xin Ming, Hua Liu

J Med Internet Res 2025 (Dec 23); 27:e77339

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Prognostic Prediction Models for Ulcerative Colitis: Systematic Review and Meta-Analysis

Zhijun Bu, Yuan Sun, Zeyang Shi, Liming Hu, Chuanlan Ju, Yuan Liu, Jing An, Huiyi Sun, Jianping Liu, Zhaolan Liu

J Med Internet Res 2025 (Dec 22); 27:e71944

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A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study

Xu Cheng, Ping Li, Enqing Meng, Xinyi Wu, Hao Wu

JMIR Med Inform 2025 (Dec 22); 13:e82533

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Deep Learning Approaches for Classifying Children With and Without Autism Spectrum Disorder Using Inertial Measurement Unit Hand Tracking Data: Comparative Study

John Mutersbaugh, Wan-Chun Su, Anjana Bhat, Amir Gandjbakhche

JMIR Med Inform 2025 (Dec 22); 13:e73440

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Efficacy of Artificial Intelligence–Assisted Appliances in the Selection of Tooth Shade: Protocol for an Observational Study

Namita Zilpilwar, Sharayu Nimonkar, Surekha Godbole, Vikram Belkhode

JMIR Res Protoc 2025 (Dec 22); 14:e68160

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Intersection of Big Five Personality Traits and Substance Use on Social Media Discourse: AI-Powered Observational Study

Julina Maharjan, Ruoming Jin, Jianfeng Zhu, Deric Kenne

J Med Internet Res 2025 (Dec 19); 27:e79454

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Development and Validation of a Cross-Device Platform for Anhedonia Trend Visualization by Using Ecological Momentary Assessment and Moving Averages (Part I): Protocol for a Methodological Pilot Study

Yen-Chung Ho, Chia-Ling Fang, Yung-Chieh Ching, Hsiu-Ju Chang, Jiun-Yi Wang, Charles CN Wang

JMIR Res Protoc 2025 (Dec 18); 14:e84024

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A Machine Learning Approach to Predicting Mortality Risk in Chemotherapy-Treated Lung Cancer: Machine Learning Model Development and Validation

Jianjun Zou, Jinyi Huang, Katie Lu, Ao Lin, Chen Xie, Jinrong Zhang, Boqi Rao, Zhi Li, Dongming Xie, Ling Lu, Feng Luo, Jinbin Chen, Lei Yang, Fuman Qiu, Xin Zhang, Yibin Deng, Jiachun Lu

JMIR Med Inform 2025 (Dec 18); 13:e72424

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Large Separable Kernel Attention–Driven Multidimensional Feature Cross-Level Fusion Classification Network of Knee Cartilage Injury: Algorithm Development and Validation

Lirong Zhang, Hang Yu, Yating Yang

JMIR Med Inform 2025 (Dec 17); 13:e79748

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Noise-Resilient Bioacoustics Feature Extraction Methods and Their Implications on Audio Classification Performance: Systematic Review

Geofrey Owino, Bernard Shibwabo

JMIR Biomed Eng 2025 (Dec 16); 10:e80089

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Multimodal Data–Driven Explainable Prognostic Model for Major Adverse Cardiovascular Events Prediction in Patients With Unstable Angina and Heart Failure With Preserved Ejection Fraction: Multicenter, Cross-Regional Cohort Study

Yijun Wang, Yaoling Wang, Yujie Luan, Menglei Hao, Wenyuan Yin, Bing Wu, Tongjian Zhu, Jiajun Zhu, Bowen Zhou, Long Tang, Jun Wang, Jinhui Wu

J Med Internet Res 2025 (Dec 15); 27:e78402

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Predicting Metabolic Dysfunction–Associated Fatty Liver Disease Phenotypes Among Adults: 2-Stage Contrastive Learning Method

Sizhe Jasmine Chen, Da Xu, Derek K Hu, Paul Jen-Hwa Hu, Ting-Shuo Huang

JMIR Med Inform 2025 (Dec 12); 13:e75747

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