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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform

Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

JMIR Med Inform 2025;13:e64114

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Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study

Hui Lin, Min Yang, Zhiheng Zhou, Yu Zhang, Ning Deng

J Med Internet Res 2025;27:e65431

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Smartwatch-Based Tailored Gamification and User Modeling for Motivating Physical Exercise: Experimental Study With the Maximum Difference Scaling Segmentation Method

Jie Yao, Di Song, Tao Xiao, Jiali Zhao

JMIR Serious Games 2025;13:e66793

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Primary Technology-Enhanced Care for Hypertension Scaling Program: Trial-Based Economic Evaluation Examining Effectiveness and Cost-Effectiveness Using Real-World Data in Singapore

Yi Wang, Shilpa Tyagi, David Wei Liang Ng, Valerie Hui Ying Teo, David Kok, Dennis Foo, Gerald Choon-Huat Koh

J Med Internet Res 2025;27:e59275

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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;27:e59002

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

Nonbinary data were one-hot encoded, a method for rearranging categorical data into binary variables, and numerical data were normalized using min-max scaling. This would convert all numeric values between or equal to a value of 0 and 1. Min-max scaling is given by: One-hot encoding, min-max scaling, and dataset splitting were accomplished using the Scikit-Learn library (version 0.24.2) [24]. These steps are required to improve the performance of machine learning models and training stability.

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