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Two-Year Hypertension Incidence Risk Prediction in Populations in the Desert Regions of Northwest China: Prospective Cohort Study

Yinlin Cheng, Kuiying Gu, Weidong Ji, Zhensheng Hu, Yining Yang, Yi Zhou

J Med Internet Res 2025;27:e68442

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Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment

Liuren Zhang, Linchen Chu, Maria E Sundaram, Yi Zhou, Xiu Sun, Zheng Wei, Chuanxi Fu

JMIR Public Health Surveill 2025;11:e63314

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Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis

Hui Zong, Rongrong Wu, Jiaxue Cha, Jiao Wang, Erman Wu, Jiakun Li, Yi Zhou, Chi Zhang, Weizhe Feng, Bairong Shen

J Med Internet Res 2024;26:e66114

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A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

Building on the progress of Wu et al [15], Zhou et al [16] conducted a randomized trial with a modified model by providing monetary incentives to GBMSM index participants who motivated alters to upload their results to the web-based system. The study concluded that SD-HIVST with economic incentives could effectively promote SD-HIVST and encourage newly tested receivers to test.

Yuxin Ni, Ying Lu, Fengshi Jing, Qianyun Wang, Yewei Xie, Xi He, Dan Wu, Rayner Kay Jin Tan, Joseph D Tucker, Xumeng Yan, Jason J Ong, Qingpeng Zhang, Hongbo Jiang, Wencan Dai, Liqun Huang, Wenhua Mei, Yi Zhou, Weiming Tang

JMIR Public Health Surveill 2024;10:e50656

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Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach

The trial profile infographic with more details can be found in Zhou et al [20]. We formulated a strategy to identify key influencers as a binary classification problem, and 4 ML models were constructed, including logistic regression, support vector machine, decision tree, and random forest [21,22].

Fengshi Jing, Yang Ye, Yi Zhou, Yuxin Ni, Xumeng Yan, Ying Lu, Jason Ong, Joseph D Tucker, Dan Wu, Yuan Xiong, Chen Xu, Xi He, Shanzi Huang, Xiaofeng Li, Hongbo Jiang, Cheng Wang, Wencan Dai, Liqun Huang, Wenhua Mei, Weibin Cheng, Qingpeng Zhang, Weiming Tang