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Predicting Postoperative Stress Urinary Incontinence After Prolapse Surgery via Machine Learning and Regression Models: Development and Validation Study

Minna Su, Shuyu Wang, Xiaochun Liu

JMIR Med Inform 2025;13:e76021

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Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study

Meng Qing Xu, Zhi Sheng Jiang, Wan Yu Liao, Ying Kang, Xiao Yue Feng, Kang Jiang, Qiong Jiang, Zhuang Zhuang Cong, Jing Luo, Lin Wu, Yi Shen, Fang Yu Wang

JMIR Cancer 2025;11:e68027

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Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study

Veerle Y van Velze, Hendrico L Burger, Tim J van der Steenhoven, Hani Al-Ers, Lauren N Goncalves, Daniël Eefting, Willem-Jan J de Jong, Harm J Smeets, Janna C Specken Welleweerd, Joost R van der Vorst, Sandy Uchtmann, Robert Rissmann, Jaap F Hamming, Lampros Stergioulas, Koen EA van der Bogt

JMIR Med Inform 2025;13:e71994

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Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach

David Agustriawan, Adithama Mulia, Marlinda Vasty Overbeek, Vincent Kurniawan, Jheno Syechlo, Moeljono Widjaja, Muhammad Imran Ahmad

JMIR Bioinform Biotech 2025;6:e72423

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Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study

Mahmoud B Almadhoun, MA Burhanuddin

JMIR Bioinform Biotech 2025;6:e70621

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Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb Mohsen, Agustin Martin-Morales, Research Dawadi, Takao Inoue, Jie Ting Tay, Mari Yoshizaki, Naoki Watanabe, Yuki Kuriya, Chisa Matsumoto, Ahmed Arafa, Yoko M Nakao, Yuka Kato, Masayuki Teramoto, Michihiro Araki

JMIR Cardio 2025;9:e68066

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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;8:e65629

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Constructing a Hospital Department Development–Level Assessment Model: Machine Learning and Expert Consultation Approach in Complex Hospital Data Environments

Jingkun Liu, Jiaojiao Tai, Junying Han, Meng Zhang, Yang Li, Hongjuan Yang, Ziqiang Yan

JMIR Form Res 2024;8:e54638

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Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study

Cheng Fang, Xiao Ji, Yifeng Pan, Guanchao Xie, Hongsheng Zhang, Sai Li, Jinghai Wan

J Med Internet Res 2024;26:e54944

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Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation

Julian Späth, Zeno Sewald, Niklas Probul, Magali Berland, Mathieu Almeida, Nicolas Pons, Emmanuelle Le Chatelier, Pere Ginès, Cristina Solé, Adrià Juanola, Josch Pauling, Jan Baumbach

JMIR AI 2024;3:e47652

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