Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34932, first published .
Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study

Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study

Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study

Nawar Shara   1 , PhD ;   Kelley M Anderson   2 , PhD, FNP ;   Noor Falah   3 , MS ;   Maryam F Ahmad   3 ;   Darya Tavazoei   3 ;   Justin M Hughes   3 , MS ;   Bethany Talmadge   4 , BS ;   Samantha Crovatt   4 , BS ;   Ramon Dempers   4 , MSc

1 MedStar Health Research Institute, Georgetown-Howard Universities Center for Clinical and Translational Science, Hyattsville, MD, United States

2 Georgetown University, Washington, DC, United States

3 MedStar Health Research Institute, Hyattsville, MD, United States

4 Invaryant Inc, Roswell, GA, United States

Corresponding Author:

  • Nawar Shara, PhD
  • MedStar Health Research Institute
  • Georgetown-Howard Universities Center for Clinical and Translational Science
  • 6525 Belcrest Road
  • Hyattsville, MD, 20782
  • United States
  • Phone: 1 240-618-7859
  • Email: Nawar.Shara@Medstar.net