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Formative Evaluation of Digital Health Interventions (5109) Public (e)Health, Digital Epidemiology and Public Health Informatics (2289) Obstetrics, Gynecology, and Reproductive Medicine (414) Secondary Use of Clinical Data for Research and Surveillance (630) Machine Learning (3150) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (157) AI Applications in Public Health (100)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94172, first published .
Pregnant woman in white tank top cradling her belly

Predicting Cesarean Section Delivery in the United States Using Machine Learning: Population-Based Retrospective Study

Predicting Cesarean Section Delivery in the United States Using Machine Learning: Population-Based Retrospective Study

Authors of this article:

Yanchao Yang1 Author Orcid Image
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Yanchao Yang   1 , PhD

1 School of Business and Leadership, DePauw University, Greencastle, IN, United States

Corresponding Author:

  • Yanchao Yang, PhD
  • School of Business and Leadership
  • DePauw University
  • 313 S. Locust St.
  • Greencastle, IN 46074
  • United States
  • Phone: 1 9514725216
  • Email: yyang056@ucr.edu