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

• 主要な著者: Zheng Liu (著者), Na Han (著者), Tao Su (著者), Yuelong Ji (著者), Heling Bao (著者), Shuang Zhou (著者), Shusheng Luo (著者), Hui Wang (著者), Jue Liu (著者), Hai-Jun Wang (著者)
• フォーマット: 図書
• 出版事項: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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...