Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41162, first published .
Predicting Risky Sexual Behavior Among College Students Through Machine Learning Approaches: Cross-sectional Analysis of Individual Data From 1264 Universities in 31 Provinces in China

Predicting Risky Sexual Behavior Among College Students Through Machine Learning Approaches: Cross-sectional Analysis of Individual Data From 1264 Universities in 31 Provinces in China

Predicting Risky Sexual Behavior Among College Students Through Machine Learning Approaches: Cross-sectional Analysis of Individual Data From 1264 Universities in 31 Provinces in China

Authors of this article:

Xuan Li1 Author Orcid Image ;   Hanxiyue Zhang1 Author Orcid Image ;   Shuangyu Zhao1 Author Orcid Image ;   Kun Tang1 Author Orcid Image

Xuan Li   1 , BSc ;   Hanxiyue Zhang   1 , PhD ;   Shuangyu Zhao   1 , BSc ;   Kun Tang   1 , DPhil

1 Vanke School of Public Health, Tsinghua University, Beijing, China

Corresponding Author: