Machine Learning

Exploring Generative Pre-Trained Transformer-4-Vision for Nystagmus Classification: Development and Validation of a Pupil-Tracking Process

Masao Noda, Ryota Koshu, Reiko Tsunoda, Hirofumi Ogihara, Tomohiko Kamo, Makoto Ito, Hiroaki Fushiki

JMIR Form Res 2025 (Jun 06); 9:e70070

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Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study

Fabienne Josefine Renggli, Maisa Gerlach, Jannic Stefan Bieri, Christoph Golz, Murat Sariyar

JMIR Form Res 2025 (Jun 04); 9:e67747

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Enhancing the Readability of Online Patient Education Materials Using Large Language Models: Cross-Sectional Study

John Will, Mahin Gupta, Jonah Zaretsky, Aliesha Dowlath, Paul Testa, Jonah Feldman

J Med Internet Res 2025 (Jun 04); 27:e69955

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Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study

Ali Amirahmadi, Farzaneh Etminani, Jonas Björk, Olle Melander, Mattias Ohlsson

JMIR Med Inform 2025 (Jun 04); 13:e68138

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Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study

Eric Pulick, John Curtin, Yonatan Mintz

JMIR Form Res 2025 (Jun 03); 9:e73265

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Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

Jessica L Borelli, Yuning Wang, Frances Haofei Li, Lyric N Russo, Marta Tironi, Ken Yamashita, Elayne Zhou, Jocelyn Lai, Brenda Nguyen, Iman Azimi, Christopher Marcotullio, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Amir Rahmani

JMIR Form Res 2025 (Jun 03); 9:e67964

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Predicting 30-Day Postoperative Mortality and American Society of Anesthesiologists Physical Status Using Retrieval-Augmented Large Language Models: Development and Validation Study

Ying-Hao Chen, Shanq-Jang Ruan, Pei-fu Chen

J Med Internet Res 2025 (Jun 03); 27:e75052

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A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation

Theofanis Ganitidis, Maria Athanasiou, Konstantinos Mitsis, Konstantia Zarkogianni, Konstantina S Nikita

J Med Internet Res 2025 (Jun 03); 27:e66919

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Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development

Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, Eri Nakahara, Akinori Fujino, Nagisa Shiomi, Hiroshi Nakashima, Kazuhiko Ohe

JMIR Med Inform 2025 (Jun 02); 13:e67748

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Development and Spatial External Validation of a Predictive Model of Survival Based on Random Survival Forest Analysis for People Living With HIV and AIDS After Highly Active Antiretroviral Therapy in China: Retrospective Cohort Study

Xiaoshan Li, Yanhui Li, Zhengping Zhu, Bingxin Tan, Xiaoyi Zhou, Hongjie Shi, Xin Li, Ping Zhu, Yuanyuan Xu

J Med Internet Res 2025 (Jun 02); 27:e71257

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Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model

Hocheol Lee, Yu Seong Hwang, Ye Jun Kim, Yukyung Park, Heui Sug Jo

JMIR Med Inform 2025 (May 30); 13:e65127

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Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

JMIR Med Inform 2025 (May 30); 13:e74940

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Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

Donghao Chen, Pengfei Wang, Xiaolong Zhang, Runqi Qiao, Nanxi Li, Xiaodong Zhang, Honggang Zhang, Gang Wang

JMIR Form Res 2025 (May 30); 9:e56057

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Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study

Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

JMIR Diabetes 2025 (May 29); 10:e60141

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Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review

Suhila Sawesi, Arya Jadhav, Bushra Rashrash

JMIR Med Inform 2025 (May 29); 13:e67859

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Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Validation Study

Jun Tang, Yang Li, Keyu Luo, Jiangyuan Lai, Xiang Yin, Dongdong Wu

JMIR Form Res 2025 (May 29); 9:e67311

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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation

Yike Li, Mingyang Xiao, Yaqian Li, Lulu Lv, Shanshan Zhang, Yuhui Liu, Juan Zhang

JMIR Med Inform 2025 (May 28); 13:e72349

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Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study

Qing Hua, Fengchun Yang, Yadan Zhou, Fenglian Shi, Xiaoyan You, Jing Guo, Li Li

J Med Internet Res 2025 (May 27); 27:e70068

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Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study

Yu-Chen Liu, Guan-Ling Lin, Jeremiah Scholl, Yi-Chun Hung, Yu-Jing Lin, Yu-Chuan Li, Hsuan-Chia Yang

J Med Internet Res 2025 (May 27); 27:e70731

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Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

J Med Internet Res 2025 (May 26); 27:e66733

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