Impact of labor characteristics on maternal and neonatal outcomes of labor: A machine-learning model

• Sherif A. Shazly,

  Roles Conceptualization, Data curation, Writing – original draft

  Affiliation Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota

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• Bijan J. Borah,

  Roles Formal analysis, Writing – original draft

  Affiliations Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, Division of Health Care Delivery Research, Mayo Clinic, Rochester, Minnesota, The Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota

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• Che G. Ngufor,

  Roles Formal analysis, Writing – original draft

  Affiliations The Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota

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• Vanessa E. Torbenson,

  Roles Writing – review & editing

  Affiliation Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota

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• Regan N. Theiler,

  Roles Writing – review & editing

  Affiliation Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota

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• Abimbola O. Famuyide

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

  * E-mail: famuyide.abimbola@mayo.edu

  Affiliation Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota

  https://orcid.org/0000-0003-3667-2717

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