Machine Learning

Articles published in this theme: 2261 (scroll down to load remaining articles)

2026

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A Deep Neural Network for Interpreting Wearable Electrocardiogram Data in Atrial Fibrillation: Prospective Observational Diagnostic Accuracy Study

Olli A Rantula, Jukka A Lipponen, Jari Halonen, Helena Jäntti, Tuomas T Rissanen, Mika P Tarvainen, Noora S Naukkarinen, Eemu-Samuli Seljola, Onni E Santala, Jagdeep Sedha, Tero J Martikainen, Juha E K Hartikainen

JMIR Mhealth Uhealth 2026 (Apr 23); 14:e82475

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Clinical Model Autophagy: The Risk of Interpretative Drift in Recursive Medical AI

Pei Fan Shih

JMIR Med Inform 2026 (Apr 21); 14:e94813

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Autoencoder-Enhanced Convolutional Neural Networks for Plantar Pressure–Based Gait Pattern Recognition: Model Development and Cross-Validated Evaluation Study

Chuan-Chun Chang, Chi-Wen Lung, Yih-Kuen Jan, Qi-Qian Lu, Yi-You Wang, Yi-Sheng Chen, Ben-Yi Liau

JMIR Form Res 2026 (Apr 21); 10:e88488

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Multimodal Sentiment and Emotion Analysis Framework for Personalized Health Coaching Messages: Proof-of-Concept Study

Muhammad Aiman Md Zuki, Nazlena Mohamad Ali, Jun Kit Chaw

JMIR Form Res 2026 (Apr 21); 10:e79558

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Mortality Prediction Among People Living With HIV on Antiretroviral Therapy in Public Health Facilities in Gondar City Administration, Northwest Ethiopia: Machine Learning–Based Study

Andualem Enyew Gedefaw, Getaye Tizazu Biwota, Abraraw Gebre Mesele, Abraham Keffale Mengistu, Gizaw Hailiye Teferi

JMIR Med Inform 2026 (Apr 20); 14:e78770

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Comparison of Feature Selection Methods in Machine Learning Models of Cancer Information Seeking Among United States Adults: Cross-Sectional Study

Ying Liu, Kesheng Wang

JMIR Med Inform 2026 (Apr 20); 14:e75862

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Exploring Influencing Factors of Medication Adherence Among Chinese Patients With Alzheimer Disease: Delphi Study Informing Future Artificial Intelligence–Supported Interventions

Xinyue Zhang, Rafiq Elmansy

JMIR Form Res 2026 (Apr 17); 10:e89508

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Primary Health Conditions Among Medical Crowdfunding Campaigns in the United States: Natural Language Processing Study

Shaojun Yu, Shu Liu, K Robin Yabroff, Farhad Islami, Fumiko Chino, Jing Zhang, Zhiyuan Zheng

JMIR AI 2026 (Apr 17); 5:e83413

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Research on Risk Transfer Pathways for Lung Cancer Among Middle-Aged and Older Individuals Using Deep Reinforcement Learning: Retrospective Cohort Study

Songjing Chen, Sizhu Wu

JMIR Med Inform 2026 (Apr 15); 14:e74990

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Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study

Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R Pond, Lisa Vandermeer, John Hilton, Marie-France Savard, Andreanne LeBlanc, Lois Shepherd, Bingshu Chen, John MS Bartlett, Karen J Taylor, Jane Bayani, Sarah Barker, Melanie Spears, Cornelis JH van der Velde, Elma Meershoek-Klein Kranenbarg, Luc Dirix, Elizabeth Mallon, Annette Hasenburg, Christos Markopoulos, Lamin Juwara, Fida K Dankar, Mark Clemons, Khaled El Emam

J Med Internet Res 2026 (Apr 14); 28:e88665

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The AudioGene Translational Dashboard for Diagnosing Autosomal Dominant Nonsyndromic Hearing Loss: Phenotypic Data Visualization and Analysis Study

Benjamin DeSollar, Nathan Schaefer, Daniel Walls, Amanda M Odell, Kevin T A Booth, Hela Azaiez, Michael Schnieders, Richard J H Smith, Terry Braun, Thomas Casavant

JMIR Bioinform Biotech 2026 (Apr 14); 7:e85212

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Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study

Cristina Amadó Ruiz, Alberto Martín, Jaume Miró Ramos, Francisco Javier Ruz Torres, Antonio Ruiz, Adil El Haji, Pere Clavé, Omar Ortega

JMIR AI 2026 (Apr 13); 5:e81028

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Integrating Gait Analysis and AI Into Knee Osteoarthritis Care: Protocol for a 3-Phase Participatory Qualitative Study

Owen Ryan Lindsay, Janie L Astephen Wilson

JMIR Res Protoc 2026 (Apr 13); 15:e82860

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Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial

Yi-Ting Lin, Yen Chun Huang, Chih Kuang Liu, Hsiao-Yun Cho, Mingchih Chen

JMIR Aging 2026 (Apr 13); 9:e83238

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Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data

Chien-wei Chuang, Chung-Kuan Wu, Chao-Hsin Wu, Ben-Chang Shia, Mingchih Chen

JMIR Med Inform 2026 (Apr 13); 14:e75655

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Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study

Gruyff Germain Abdul-Rahman, Freark de Lange, Andrej Zwitter, Noman Haleem

JMIR Serious Games 2026 (Apr 13); 14:e83478

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Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability

Somayeh Ghazalbash, Manaf Zargoush, Sara JT Guilcher, Kerry Kuluski

JMIR Med Inform 2026 (Apr 13); 14:e83244

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Views of People With Psychosis About Algorithm-Based Relapse Prediction and Data Sharing: Qualitative Study

Emily Eisner, Hannah Ball, John Ainsworth, Matteo Cella, Richard J Drake, Daniel Elton, Sophie Faulkner, Kathryn Greenwood, Andrew Gumley, Gillian Haddock, Kimberley M Kendall, Alex Kenny, Tor-Ivar Krogsæter, Jane Lees, Shôn Lewis, Alie Phiri, Matthias Schwannauer, Rebecca Turner, Annabel E L Walsh, James Walters, Til Wykes, Uzma Zahid, Sandra Bucci

J Med Internet Res 2026 (Apr 10); 28:e86753

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Code-Based Versus AutoML Methods for Pill Recognition in Clinical Settings: Comparative Performance Study

Amir Reza Ashraf, Richárd Rádli, Zsolt Vörösházi, András Fittler

JMIR Med Inform 2026 (Apr 10); 14:e79160

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Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis

Vitor Tiosso Batistetti, Facundo G Sanchez, Andrea Varaona, Francisco Lara-Abelenda, Mariana Pinto da Costa, Juan Pablo Chart-Pascual, Alberto Rodriguez-Quiroga, Javier Quintero, Miguel Angel Alvarez-Mon

JMIR Infodemiology 2026 (Apr 09); 6:e74440

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