Predicting severe maternal outcomes in a network of sentinel sites in Latin-American countries.

Alicia Aleman Mercedes Colomar Valentina Colistro Gisselle Tomaso Claudio Sosa Suzanne Jacob Serruya Luis Andrés de Francisco Serpa Alvaro Ciganda Bremen De Mucio

Published in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2022)

Identifying PLTC can help to prevent MNM and MD. The inclusion of these predictors in a real-time data registration system like the Perinatal Informatic System could work as a surveillance tool for early detection, leading to a reduction in the rate of worsening conditions.

Keyphrases

public health
electronic health record
pregnant women
birth weight
molecular dynamics
early onset
big data
pregnancy outcomes
type diabetes
machine learning
data analysis
skeletal muscle
metabolic syndrome
physical activity
body mass index
glycemic control
network analysis
insulin resistance