A Machine Learning Algorithm using Clinical and Demographic Data for All-Cause Preterm Birth Prediction.

Journal: American journal of perinatology
Published Date: Dec 4, 2023

Abstract

OBJECTIVE: Preterm birth remains the predominant cause of perinatal mortality throughout the United States and the world, with well-documented racial and socioeconomic disparities. To develop and validate a predictive algorithm for all-cause preterm birth using clinical, demographic, and laboratory data using machine learning.

Authors

  • Ghamar Bitar
    Department of Obstetrics and Gynecology, Christiana Care Health System, Newark, Delaware.
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.
  • Jade Tunguhan
    Center for Strategic Information Management, Christiana Care Health System, Newark, Delaware.
  • Kaveeta V Kumar
    Department of Obstetrics and Gynecology, Christiana Care Health System, Newark, Delaware.
  • Matthew K Hoffman

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