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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...
Autores principales: | Liu, Zheng, Han, Na, Su, Tao, Ji, Yuelong, Bao, Heling, Zhou, Shuang, Luo, Shusheng, Wang, Hui, Liu, Jue, Wang, Hai-Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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