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...
Guardado en:
Autores principales: | Zongchao Liu, Zhi Lin, Wenzhen Cao, Rui Li, Lilong Liu, Hanbin Wu, Kun Tang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/4aaa48e5ce324d78a02af14f7b5be798 |
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