Application of machine learning for risky sexual behavior interventions among factory workers in China

INTRODUCTION: Assessing 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 utilizati...

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Detalles Bibliográficos
Autores principales: Zhang, Fang, Zhu, Shiben, Chen, Siyu, Hao, Ziyu, Fang, Yuan, Zou, Huachun, Cai, Yong, Cao, Bolin, Zhang, Kechun, Cao, He, Chen, Yaqi, Hu, Tian, Wang, Zixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437811/
https://www.ncbi.nlm.nih.gov/pubmed/37601175
http://dx.doi.org/10.3389/fpubh.2023.1092018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437811/
https://www.ncbi.nlm.nih.gov/pubmed/37601175
http://dx.doi.org/10.3389/fpubh.2023.1092018

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