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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Bibliographic Details
Main Authors: Zongchao Liu, Zhi Lin, Wenzhen Cao, Rui Li, Lilong Liu, Hanbin Wu, Kun Tang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Children
Subjects:
public health
contraception
machine learning
young people
Online Access:https://www.mdpi.com/2227-9067/8/11/968

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