Leveraging machine learning for cardiovascular disease risk prediction and prevention in women with a history of adverse pregnancy outcomes

  • Rich-edwards, Janet J.W (PI)
  • Pencina, Michael M.J (CoPI)

Project Details

Description

PROJECT ABSTRACT
Each year, more than a million US women experience adverse pregnancy outcomes (APOs) associated with a
two-fold higher risk of future maternal CVD. These APOs include preeclampsia, gestational hypertension,
gestational diabetes, preterm delivery (
StatusActive
Effective start/end date1/12/2430/11/25

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Cardiology and Cardiovascular Medicine
  • Pediatrics, Perinatology, and Child Health

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