Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study

BACKGROUND: Predicting birth weight and identifying its risk factors are clinically important. This study aims to use interpretable machine learning to predict birth weight and identity important predictors. METHODS: This prospective cohort study was conducted in Tongzhou Maternal and Child Health C...

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Detalles Bibliográficos
Autores principales: Liu, Zheng, Han, Na, Su, Tao, Ji, Yuelong, Bao, Heling, Zhou, Shuang, Luo, Shusheng, Wang, Hui, Liu, Jue, Wang, Hai-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691849/
https://www.ncbi.nlm.nih.gov/pubmed/36440327
http://dx.doi.org/10.3389/fped.2022.899954

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691849/
https://www.ncbi.nlm.nih.gov/pubmed/36440327
http://dx.doi.org/10.3389/fped.2022.899954

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