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

Rich-edwards, Janet J.W (Investigador principal)
Pencina, Michael M.J (CoPI)

UNC Kenan-Flagler

Descripción

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 (

Estado	Activo
Fecha de inicio/Fecha fin	1/12/24 → 30/11/25
Enlaces	https://reporter.nih.gov/project-details/10996161

!!!ASJC Scopus Subject Areas

Inteligencia artificial
Cardiología y medicina cardiovascular
Pediatría, perinaltología y salud infantil

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https://reporter.nih.gov/project-details/10996161

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

Detalles del proyecto

Descripción

!!!ASJC Scopus Subject Areas

Acceder al proyecto

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