An imbalance-aware deep neural network for early prediction of preeclampsia

• Rachel Bennett,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  Affiliation School of Industrial and Systems Engineering, University of Oklahoma, Norman, Oklahoma, United States of America

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• Zuber D. Mulla,

  Roles Conceptualization, Investigation, Validation, Writing – review & editing

  Affiliations Department of Obstetrics and Gynecology, and Office of Faculty Development, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, United States of America, Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, Texas, United States of America

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• Pavan Parikh,

  Roles Conceptualization, Investigation, Validation, Writing – review & editing

  Affiliation Division of Maternal Fetal Medicine, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, United States of America

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• Alisse Hauspurg,

  Roles Conceptualization, Validation, Writing – review & editing

  Affiliation Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America

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• Talayeh Razzaghi

  Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing

  * E-mail: talayeh.razzaghi@ou.edu

  Affiliation School of Industrial and Systems Engineering, University of Oklahoma, Norman, Oklahoma, United States of America

  https://orcid.org/0000-0001-8052-9876

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