Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China

• Yimin Zhang ,

  Roles Conceptualization, Data curation, Validation, Writing – original draft

  ¶‡ YMZ and ZL are co-first authors on this work.

  Affiliation Department of Pediatrics, Peking University People’s Hospital, Beijing, China

  https://orcid.org/0000-0003-2860-2305

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• Zheng Liu ,

  Roles Conceptualization, Data curation, Funding acquisition, Methodology, Software, Writing – original draft

  * E-mail: liuzheng@bjmu.edu.cn (ZL); icy.zhang@163.com (XZ)

  ¶‡ YMZ and ZL are co-first authors on this work.

  Affiliation Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China

  https://orcid.org/0000-0002-0405-2348

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• Jingyao Liu,

  Roles Methodology, Writing – review & editing

  Affiliation Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China

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• Jing Chen,

  Roles Formal analysis, Methodology, Software

  Affiliation Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China

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• Xiaorui Zhang

  Roles Conceptualization, Data curation, Visualization, Writing – review & editing

  * E-mail: liuzheng@bjmu.edu.cn (ZL); icy.zhang@163.com (XZ)

  Affiliation Department of Pediatrics, Peking University People’s Hospital, Beijing, China

  https://orcid.org/0000-0002-7030-6529

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