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

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

BackgroundPredicting 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.MethodsThis prospective cohort study was conducted in Tongzhou Maternal and Child Health Care H...

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Bibliographic Details
Main Authors: Zheng Liu, Na Han, Tao Su, Yuelong Ji, Heling Bao, Shuang Zhou, Shusheng Luo, Hui Wang, Jue Liu, Hai-Jun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Pediatrics
Subjects:
birth weight
predictor
interpretable machine learning
cohort
pregnancy
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2022.899954/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2022.899954/full

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