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Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Participants will receive a modest digital monetary incentive ranging from 5 to 50 Chinese Yuan through a lottery-based mechanism via We Chat for their time and participation. No identifiable information will be included in the manuscript or any supplementary materials. The study received funding in January 2023. Participant enrollment began in August 2024 and was completed in February 2025.

Yang Yuan, Yuying Jing, Jiyu Li, Jieyi He, David C Schwebel, Peishan Ning, Zhenzhen Rao, Li Li, Guoqing Hu

JMIR Public Health Surveill 2025;11:e76195

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

For example, Huang et al [19] successfully identified the liver-gallbladder dampness-heat syndrome in patients with breast cancer using a dataset based on the prescriptions of TCM clinical practitioners. Zhuo et al [20] effectively differentiated Qi deficiency blood stasis syndrome and phlegm stasis in channels syndrome in patients with stroke through artificial intelligence–assisted retinal feature analysis.

Xiaojie Jin, Yanru Wang, Jiarui Wang, Qian Gao, Yuhan Huang, Lingyu Shao, Jiali Zhao, Jintian Li, Ling Li, Zhiming Zhang, Shuyan Li, Yongqi Liu

JMIR Med Inform 2025;13:e64725