Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database

• Jue Seong Lee ,

  Contributed equally to this work with: Jue Seong Lee, Eun-Saem Choi

  Roles Conceptualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Pediatric Cardiology, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea

  ⨯
• Eun-Saem Choi ,

  Contributed equally to this work with: Jue Seong Lee, Eun-Saem Choi

  Roles Conceptualization, Formal analysis, Methodology, Validation, Writing – original draft

  Affiliation Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea

  ⨯
• Yujin Hwang,

  Roles Formal analysis, Investigation, Methodology

  Affiliations Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea, AI Center, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea

  ⨯
• Kwang-Sig Lee ,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Writing – review & editing

  * E-mail: akh1220@hanmail.net (KHA); ecophy@hanmail.net (KSL)

  ¶‡ KSL and KHA also contributed equally to this work.

  Affiliation AI Center, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea

  ⨯
• Ki Hoon Ahn

  Roles Conceptualization, Project administration, Supervision, Writing – review & editing

  * E-mail: akh1220@hanmail.net (KHA); ecophy@hanmail.net (KSL)

  ¶‡ KSL and KHA also contributed equally to this work.

  Affiliation Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea

  https://orcid.org/0000-0002-6314-4621

  ⨯