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Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach

Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach

The explanatory power of the regression models was evaluated using adjusted R², and standardized regression coefficients (β) along with their significance levels were reported [48]. To identify optimal lifestyle intervention strategies for university students at high risk of SNA, a regression prediction model was constructed using the random forest algorithm [49]. To ensure data integrity, all features and target variables were uniformly converted into numerical values.

Lin Luo, Junfeng Yuan, Chen Xu, Huilin Xu, Haojie Tan, Yinhao Shi, Haiping Zhang, Haijun Xi

J Med Internet Res 2025;27:e72260

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

of each characteristic with insulin resistance. a IR: Insulin resistance. b HOMA: Homeostasis Model Assessment. c WC: waist circumference. d BMI: body mass index. e SBP: systolic blood pressure. f DBP: diastolic blood pressure. g BUN: blood urea nitrogen. h Sr: serum creatinine. i UA: uric acid. j TBA: total bile acids. k ALT: alanine aminotransferase. l AST: aspartate aminotransferase. m ALB: serum albumin. n GLO: serum globulin. o A/G: albumin/globulin ratio. p TP: total protein. q DBIL: direct bilirubin. r

Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

JMIR Med Inform 2025;13:e72238