Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study.

Homa Khorrami Ahmadzia Alexa C Dzienny Mike Bopf Jaclyn M Phillips Jerome Jeffrey Federspiel Richard L Amdur Madeline Murguia Rice Laritza Rodriguez

Published in: JMIR bioinformatics and biotechnology (2024)

Machine learning offers higher discriminability than logistic regression in predicting PPH. The Consortium for Safe Labor data set may not be optimal for analyzing risk due to strong subgroup effects, which decreases accuracy and limits generalizability.

Keyphrases

machine learning
big data
artificial intelligence
electronic health record
cardiac surgery
deep learning
birth weight
acute kidney injury
pregnancy outcomes
weight gain
preterm birth