Identify Key Determinants of Contraceptive Use for Sexually Active Young People: A Hybrid Ensemble of Machine Learning Methods

Identify Key Determinants of Contraceptive Use for Sexually Active Young People: A Hybrid Ensemble of Machine Learning Methods

Sexually active young people face an increasing public health burden of unintended pregnancies and sexually transmitted diseases due to improper contraception. However, environmental and social factors related to young people’s contraception remain unclear. To identify the key factors, we applied en...

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Autores principales: Zongchao Liu, Zhi Lin, Wenzhen Cao, Rui Li, Lilong Liu, Hanbin Wu, Kun Tang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
public health
contraception
machine learning
young people
Pediatrics
RJ1-570
Acceso en línea:https://doaj.org/article/4aaa48e5ce324d78a02af14f7b5be798
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https://doaj.org/article/4aaa48e5ce324d78a02af14f7b5be798

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