Machine Learning

Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study

Olivier Raspado, Michel Brack, Olivier Brack, Mélanie Vivancos, Aurélie Esparcieux, Emmanuelle Cart-Tanneur, Abdellah Aouifi

JMIR Form Res 2025 (Apr 11); 9:e66509

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Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Doreen Phiri, Frank Makowa, Vivi Leona Amelia, Yohane Vincent Abero Phiri, Lindelwa Portia Dlamini, Min-Huey Chung

J Med Internet Res 2025 (Apr 11); 27:e59002

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Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Chang-Uk Jeong, Jacob S Leiby, Dokyoon Kim, Eun Kyung Choe

JMIR Aging 2025 (Apr 11); 8:e64473

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Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study

Charlotte Havreng-Théry, Arnaud Fouchard, Fabrice Denis, Jacques-Henri Veyron, Joël Belmin

JMIR Form Res 2025 (Apr 11); 9:e63700

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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance

Olena Bolgova, Inna Shypilova, Volodymyr Mavrych

JMIR Med Educ 2025 (Apr 10); 11:e67244

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Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Fan-Ying Chan, Yi-En Ku, Wen-Nung Lie, Hsiang-Yin Chen

JMIR Form Res 2025 (Apr 10); 9:e67767

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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

JMIR AI 2025 (Apr 10); 4:e67144

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Early Detection of Elevated Ketone Bodies in Type 1 Diabetes Using Insulin and Glucose Dynamics Across Age Groups: Model Development Study

Simon Cichosz, Clara Bender

JMIR Diabetes 2025 (Apr 10); 10:e67867

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Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study

Daniel Sumsion, Elijah Davis, Marta Fernandes, Ruoqi Wei, Rebecca Milde, Jet Malou Veltink, Wan-Yee Kong, Yiwen Xiong, Samvrit Rao, Tara Westover, Lydia Petersen, Niels Turley, Arjun Singh, Stephanie Buss, Shibani Mukerji, Sahar Zafar, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Katie Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D Clifford, Umakanth Katwa, Robert Thomas, M Brandon Westover, Haoqi Sun

JMIR Med Inform 2025 (Apr 10); 13:e64113

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Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study

Adam Remaki, Jacques Ung, Pierre Pages, Perceval Wajsburt, Elise Liu, Guillaume Faure, Thomas Petit-Jean, Xavier Tannier, Christel Gérardin

JMIR Med Inform 2025 (Apr 09); 13:e68704

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Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study

Mohammed Mahyoub, Kacie Dougherty, Ajit Shukla

JMIR Med Inform 2025 (Apr 09); 13:e67706

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A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon

J Med Internet Res 2025 (Apr 09); 27:e62853

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Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study

Ju-Seung Kwun, Houng-Beom Ahn, Si-Hyuck Kang, Sooyoung Yoo, Seok Kim, Wongeun Song, Junho Hyun, Ji Seon Oh, Gakyoung Baek, Jung-Won Suh

J Med Internet Res 2025 (Apr 09); 27:e66366

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Promoting Health Literacy With Human-in-the-Loop Video Understandability Classification of YouTube Videos: Development and Evaluation Study

Xiao Liu, Anjana Susarla, Rema Padman

J Med Internet Res 2025 (Apr 08); 27:e56080

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Comparing Random Survival Forests and Cox Regression for Nonresponders to Neoadjuvant Chemotherapy Among Patients With Breast Cancer: Multicenter Retrospective Cohort Study

Yudi Jin, Min Zhao, Tong Su, Yanjia Fan, Zubin Ouyang, Fajin Lv

J Med Internet Res 2025 (Apr 08); 27:e69864

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Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study

Ming De Lim, Tee Connie, Michael Kah Ong Goh, Nor ‘Izzati Saedon

JMIR Aging 2025 (Apr 08); 8:e65629

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Striking a Balance: Innovation, Equity, and Consistency in AI Health Technologies

Eric Perakslis, Kimberly Nolen, Ethan Fricklas, Tracy Tubb

JMIR AI 2025 (Apr 07); 4:e57421

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Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance

Arturo Castellanos, Haoqiang Jiang, Paulo Gomes, Debra Vander Meer, Alfred Castillo

JMIR AI 2025 (Apr 04); 4:e64447

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Multilevel Factors and Indicators of Atypical Neurodevelopment During Early Infancy in Japan: Prospective, Longitudinal, Observational Study

Daigo Kato, Akiko Okuno, Tetsuo Ishikawa, Shoji Itakura, Shinji Oguchi, Yoshiyuki Kasahara, Kenji Kanenishi, Yuzo Kitadai, Yoshitaka Kimura, Naoki Shimojo, Kazushige Nakahara, Akiko Hanai, Hiromichi Hamada, Haruta Mogami, Seiichi Morokuma, Kazuhiro Sakurada, Yukuo Konishi, Eiryo Kawakami

JMIR Pediatr Parent 2025 (Apr 04); 8:e58337

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Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

Natthanaphop Isaradech, Wachiranun Sirikul, Nida Buawangpong, Penprapa Siviroj, Amornphat Kitro

JMIR Aging 2025 (Apr 02); 8:e62942

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