Machine Learning

Leveraging Smart Bed Technology to Detect COVID-19 Symptoms: Case Study

Gary Garcia-Molina, Dmytro Guzenko, Susan DeFranco, Mark Aloia, Rajasi Mills, Faisal Mushtaq, Virend K Somers

JMIR AI 2025 (Sep 17); 4:e64018

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Development of a Recommendation Engine to University Student Mental Health Support Aligned With Stepped Care: Longitudinal Cohort Study

Pedro Velmovitsky, Charles Keown-Stoneman, Kaylen J Pfisterer, Julia Hews-Girard, Joseph Saliba, Shumit Saha, Scott Patten, Nathan King, Anne Duffy, Quynh Pham

J Med Internet Res 2025 (Sep 17); 27:e72669

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Comparative Diagnostic Performance of a Multimodal Large Language Model Versus a Dedicated Electrocardiogram AI in Detecting Myocardial Infarction From Electrocardiogram Images: Comparative Study

Haemin Lee, Sooyoung Yoo, Joonghee Kim, Youngjin Cho, Dongbum Suh, Keehyuck Lee

JMIR AI 2025 (Sep 17); 4:e75910

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Identifying Predictors of Cervical Cancer Screening Uptake in Sub-Saharan Africa Using Machine Learning: Cross-Sectional Study

Nebebe Demis Baykemagn, Mekuriaw Nibret Aweke, Amare Mesfin, Lemlem Daniel Baffa, Muluken Chanie Agimas, Habtamu Wagnew Abuhay, Dagnew Getnet Adugna, Tewodros Getaneh Alemu, Alemu Teshale Bicha, Gebrie Getu Alemu

JMIR Public Health Surveill 2025 (Sep 17); 11:e71677

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An Artificial Intelligence–Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study

Orhun Vural, Bunyamin Ozaydin, Khalid Y Aram, James Booth, Brittany Freeman Lindsey, Abdulaziz Ahmed

JMIR Med Inform 2025 (Sep 17); 13:e73960

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Using Wearable Device and Machine Learning to Predict Mood Symptoms in Bipolar Disorder: Development and Usability Study

Chia-Tung Wu, Ming H Hsieh, I-Ming Chen, Lian-Yin Jhao, Ding-Shan Liu, Ssu-Ming Wang, Chia-Ting Wu, Yi-Ling Chien

JMIR Med Inform 2025 (Sep 16); 13:e66277

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Development of a Data-Based Method for Predicting Nursing Workload in an Acute Care Hospital: Methodological Study

Mark McMahon, Sylvie Plate, Tobias Herz, Gabi Brenner, Michael Kleinknecht-Dolf, Michael Krauthammer

J Med Internet Res 2025 (Sep 16); 27:e66667

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Holistic Influence of Multimodal Medical Crowdfunding Affordances on Charitable Crowdfunding Outcome: Systematic Multimodel Analysis Study

Yuxuan Du, Yujin Yang, Zihe Li, Jiaolong Xue

JMIR Med Inform 2025 (Sep 16); 13:e75563

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Real-Time Estimation of Arterial Partial Pressure of Carbon Dioxide in Patients Undergoing General Anesthesia: Predictive Modeling Study

Ah Ra Lee, Jun Ho Lee, Sooyoung Yoo, Ho-Young Lee, Hyun Ho Kim

JMIR Med Inform 2025 (Sep 16); 13:e64855

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Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study

Jiaxi Li, Xiali Liu, Shenyang He, Yan Ren

JMIR Med Inform 2025 (Sep 16); 13:e71539

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Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study

Xiaoping Zheng, Ziwei Zeng, Kimberley S van Schooten, Yijian Yang

JMIR Aging 2025 (Sep 15); 8:e77140

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Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study

Rajagopal Subramaniam Chandrasekar, Michael Kane, Lakshmanan Krishnamurti

JMIR AI 2025 (Sep 15); 4:e64519

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Trade-Off Analysis of Classical Machine Learning and Deep Learning Models for Robust Brain Tumor Detection: Benchmark Study

Yuting Tian

JMIR AI 2025 (Sep 15); 4:e76344

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Performance of Natural Language Processing for Information Extraction From Electronic Health Records Within Cancer: Systematic Review

Simon Dahl, Martin Bøgsted, Tomer Sagi, Charles Vesteghem

JMIR Med Inform 2025 (Sep 12); 13:e68707

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Extracting Symptoms of Complex Conditions From Online Discourse (Subreddit to Symptomatology): Lexicon-Based Approach

Bushra Hossain, Sarah M Preum, Md Fazle Rabbi, Rifat Ara, Mohammed Eunus Ali

JMIR Med Inform 2025 (Sep 12); 13:e70940

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Cross-Site Predictions of Readmission After Psychiatric Hospitalization With Mood or Psychotic Disorders: Retrospective Study

Boyu Ren, WonJin Yoon, Spencer Thomas, Guergana Savova, Timothy Miller, Mei-Hua Hall

JMIR Ment Health 2025 (Sep 12); 12:e71630

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Machine Learning for Preoperative Assessment and Postoperative Prediction in Cervical Cancer: Multicenter Retrospective Model Integrating MRI and Clinicopathological Data

Shuqi Li, Chenyan Guo, Yufei Fang, Junjun Qiu, He Zhang, Lei Ling, Jie Xu, Xinwei Peng, Chuchu Jiang, Jue Wang, Keqin Hua

JMIR Cancer 2025 (Sep 12); 11:e69057

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Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study

Paul Römer, Jean-Jacques Ponciano, Katharina Kloster, Fabia Siegberg, Bastian Plaß, Shankeeth Vinayahalingam, Bilal Al-Nawas, Peer W Kämmerer, Thomas Klauer, Daniel Thiem

JMIR Med Inform 2025 (Sep 11); 13:e76148

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Using Wearable Sensors to Measure and Predict Personal Circadian Lighting Exposure in Nursing Home Residents: Model Development and Validation

Shevvaa Beiglary, Yanxiao Feng, Nan Wang, Neda Ghaeili, Ying-Ling Jao, Yo-Jen Liao, Yuxin Li, Julian Wang

JMIR Aging 2025 (Sep 11); 8:e72338

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Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study

Sota Nishisako, Takahiro Higashi, Fumihiko Wakao

JMIR Cancer 2025 (Sep 11); 11:e70176

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