Machine Learning

Articles published in this theme: 2298 (scroll down to load remaining articles)

2026

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Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach

Moo-Kwon Chung, Hyo-Sang Lim, Sang Yup Lee, Hyo Seok Baek, Jinhee Lee, Kyoung Joung Lee, Taeksoo Shin, Min-Hyuk Kim, Sangwon Hwang, Erdenebayar Urtnasan, Ji Young Park, Dan Hee Kwon, Jin-kyung Lee

JMIR AI 2026 (May 15); 5:e69494

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Machine Learning and Deep Learning Models for Predicting Future Falls in Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Longitudinal Evidence

Ying Gao, Doudou Xu, Xinru Li, Jue Wang, Linbin Wang, Beiwen Wu, Haifeng Zhao, Xian Qiu, Weiyi Zhu

J Med Internet Res 2026 (May 14); 28:e84844

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Multimodal Fusion of Echocardiogram Images and Electronic Medical Records for Heart Disease Screening: Retrospective Algorithm Development and Validation Study

Bokai Yang, Yirong Qin, Ye Li, Ruitao Xie, Limai Jiang, Juan He, Jikui Liu, Yunpeng Cai

JMIR Med Inform 2026 (May 14); 14:e78949

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Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician’s Tardive Inventory: Validation Study

Richard Trosch, Anthony Sterns, Bradley Grimm, Loren Larsen, Bretton Talbot, Fred Ma, Rakesh Ranjan, Carlene MacMillan, Joel Hughes, Joseph Friedman, Owen Muir

JMIR Ment Health 2026 (May 14); 13:e92197

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Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: Systematic Review

Fiona He, Steven Huang, Richard Wang, Aland Chang, Jennifer L Phillips, Christopher Sun

JMIR Ment Health 2026 (May 13); 13:e89352

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Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation Using First-Trimester Sonographic Features

Shijin Xu, Yan Jiang, Qiaoyu Zhang, Qiao Xu, Qinxin Wang, Chang Zhou, Rong Liu, Yun Liu

JMIR Med Inform 2026 (May 13); 14:e84087

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Early Detection of Alzheimer's Disease and Related Dementias From Spontaneous Speech Using Foundation Speech and Language Models: Comparative Evaluation

Jingyu Li, Lingchao Mao, Xi Mao, Hairong Wang, Zhendong Wang, Xuelei Sherry Ni

JMIR Form Res 2026 (May 13); 10:e79411

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Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort Study

Mohammed Al-Garadi, Sharon E Davis, Michael E Matheny, Dax Westerman, Adrienne K Conger, Bradley W Richmond, Thomas A Lasko, Iben M Ricket, Laura M Paulin, Jeremiah R Brown, Ruth M Reeves

JMIR Med Inform 2026 (May 12); 14:e84326

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Methodological Approaches to and Reported Performance of Applications of Automated Machine Learning in Diabetes Risk Prediction: Rapid Review

Alexandre Castonguay, Sandrine Hegg-Deloye, Arthur Chatton, Amélie Goyette

JMIR AI 2026 (May 12); 5:e87819

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AI-Based Automation for Medication Reconciliation: Scoping Review

Juan Pablo Tabja Bortesi, Maria P Becerra, Jonathan Ranisau, Bonnie Wen, Praveen Nadesan, P J Devereaux, Michael McGillion, Jeremy Petch

J Med Internet Res 2026 (May 11); 28:e86760

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Early Identification of Mobility Limitations in Community-Dwelling Middle-Aged and Older Adults: Development of a Prediction Model Based on a Prospective Cohort

Alberto Conde Freniche, Wei Hu, Mo Chen, Dantong Wang, Denis Breuillé, Yu-ming Chen

JMIR Aging 2026 (May 11); 9:e77187

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Combining Machine Learning Models and Screening to Enhance Suicide Risk Identification for American Indian Patients: Retrospective Cohort Study

Novalene Alsenay Goklish, Emily E Haroz, Rohan R Dayal, Valentín Q Sierra, Roy Adams, Francene Larzelere Sinquah, Paul Rebman, Jacob L Taylor

J Med Internet Res 2026 (May 11); 28:e82669

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Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study

Meredith Cox, Elaine Lin, Nicholas Oleck, Carlee Jones, Neill Y Li, Suhail K Mithani, Alexander C Allori

JMIR Med Inform 2026 (May 11); 14:e87133

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Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design

Flore Vancompernolle Vromman, Corentin Vande Kerckhove, Joël Gagnon, Camille Pelletier, Yannick Dufresne, Simon Coulombe

JMIR Ment Health 2026 (May 08); 13:e88750

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Machine Learning–Based Multidimensional Oximetry for Obstructive Sleep Apnea Screening: Development and External Validation

Xuanyu Qian, Haitong Luo, Rong Ding, Tianming Gao, Haoan Wang, Pengliang Wu, Ning Li

JMIR Med Inform 2026 (May 08); 14:e80384

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Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study

Wensheng Sun, Jiahao Zou, Na Yin, Wenying Fang, Jimin Sun, Ziping Miao, Shigui Yang

JMIR Med Inform 2026 (May 07); 14:e77295

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Exploring Weight Loss Medication Discourse: Mixed Methods Analysis of US-Based Facebook Posts

Elizabeth Dennard, Katrina Makres, Amrutha Alibilli, Vidur Jain, Anne Wang, Roger Abim-Karmon, Shaniece Criss, Yulin Hswen, Quynh C Nguyen, Alexandria Ratzki-Leewing, Rozalina G McCoy, Thu T Nguyen

JMIR Infodemiology 2026 (May 07); 6:e89732

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Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties

Aysenur Betul Cengil, Burak Eksioglu, Sandra Duni Eksioglu, Corey Hayes, Cari Bogulski, Mir Ali

JMIR Med Inform 2026 (May 07); 14:e78030

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AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables

Martina Montenegro, Jasper Gielen, Chunzhuo Wang, Bart Vanrumste, David Ruttens, Ruben Knevels, Jean-Marie Aerts

JMIR Med Inform 2026 (May 06); 14:e84814

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Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study

Mark Iscoe, Huan Li, Haipeng Xue, Vimig Socrates, Aidan Gilson, Thomas Huang, Richard Andrew Taylor

JMIR AI 2026 (May 06); 5:e91148

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