Application of machine learning for risky sexual behavior interventions among factory workers in China
IntroductionAssessing the likelihood of engaging in high-risk sexual behavior can assist in delivering tailored educational interventions. The objective of this study was to identify the most effective algorithm and assess high-risk sexual behaviors within the last six months through the utilization...
Saved in:
Main Authors: | Fang Zhang (Author), Shiben Zhu (Author), Siyu Chen (Author), Ziyu Hao (Author), Yuan Fang (Author), Huachun Zou (Author), Yong Cai (Author), Bolin Cao (Author), Kechun Zhang (Author), He Cao (Author), Yaqi Chen (Author), Tian Hu (Author), Zixin Wang (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2023-08-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparing the Efficacy of 2 WeChat Mini Programs in Reducing Nonmarital Heterosexual Contact by Male Factory Workers: Randomized Controlled Trial
by: Kechun Zhang, et al.
Published: (2024) -
Efficacy of HIV interventions among factory workers in low- and middle-income countries: a systematic review
by: Dahui Chen, et al.
Published: (2020) -
Behavioral Intention to Receive a COVID-19 Vaccination Among Chinese Factory Workers: Cross-sectional Online Survey
by: Zhang, Ke Chun, et al.
Published: (2021) -
Sexual attitudes and utilization of sexual and reproductive health services among older women in southern China: a qualitative study
by: Xin Peng, et al.
Published: (2024) -
Geosocial networking mobile applications use and HIV and other sexually transmitted infections among men who have sex with men in Southern China: A cross-sectional study
by: Zhihui Guo, et al.
Published: (2023)