Evaluation of fetal medicine foundation algorithm in predicting small-for-gestational-age neonates.

Luis Rezende Karina Bilda de Castro Rezende Mirian Guimaraes Andre Luiz Dourado Fabio da Matta Joffre Amim Junior Rita Guérios Bornia

Published in: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians (2019)

Performance of the FMF2012 algorithm in predicting SGA in our population was similar to that obtained in the reference population, according to sensitivity, but our false positive rate is significantly higher than the reference population.

Keyphrases

gestational age
machine learning
birth weight
physical activity
neural network