Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53091, first published .
Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data

Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data

Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data

Nawar Shara   1, 2 , PhD ;   Roxanne Mirabal-Beltran   3 , PhD ;   Bethany Talmadge   4 , BS ;   Noor Falah   1 , MS ;   Maryam Ahmad   1 , BS ;   Ramon Dempers   4 , MS ;   Samantha Crovatt   4 , BS ;   Steven Eisenberg   4 , MD ;   Kelley Anderson   3 , PhD

1 MedStar Health Research Institute, Hyattesville, MD, United States

2 Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, DC, United States

3 School of Nursing, Georgetown University, Washington, DC, United States

4 Invaryant Inc, Roswell, GA, United States

Corresponding Author:

  • Roxanne Mirabal-Beltran, PhD
  • School of Nursing
  • Georgetown University
  • 3700 Reservoir Road, NW
  • Washington, DC, 20057
  • United States
  • Phone: 1 2026873496
  • Email: rm1910@georgetown.edu