Antenatal prediction models for outcomes of extremely and very preterm infants based on machine learning.

Takafumi UshidaTomomi KotaniJoji BabaKenji ImaiYoshinori MoriyamaTomoko Nakano-KobayashiYukako IitaniNoriyuki NakamuraMasahiro HayakawaHiroaki Kajiyamanull null

Published in: Archives of gynecology and obstetrics (2022)

Machine learning models improve the prediction of severe infant outcomes. Moreover, the machine learning approach provides insight into the potential risk factors for severe infant outcomes.

Keyphrases

machine learning
preterm infants
artificial intelligence
early onset
big data
type diabetes
adipose tissue
preterm birth
skeletal muscle
glycemic control