Performance of Fetal Medicine Foundation Software for Pre-Eclampsia Prediction Upon Marker Customization: Cross-Sectional Study.

Karina Bilda de Castro Rezende Antonio Jose Ledo Alves da Cunha Joffre Amin Junior Wescule De Moraes Oliveira Maria Eduarda Belloti Leão Mariana Oliveira Alves Menezes Ana Alice Marques Ferraz De Andrade Jardim Rita Guérios Bornia

Published in: Journal of medical Internet research (2019)

We conclude that black ethnicity classification of Brazilian pregnant women by the FMF2012 algorithm increases the false positive rate. Suppressing ethnicity effect did not improve the test sensitivity. By modifying demographic characteristics, it is possible to improve some performance aspects of clinical prediction tests.

Keyphrases

pregnant women
machine learning
deep learning
signaling pathway
data analysis
pregnancy outcomes