Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach
Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach
N. Salmeri,M. Candiani,P. Cavoretto
2023 · DOI: 10.1186/s12884-023-05864-3
BMC Pregnancy and Childbirth · 1 Citations
TLDR
A machine learning algorithm is presented to predict a significant risk increase for adverse pregnancy outcomes both from maternal and fetal sides and potential implications and applications for future global health policies are discussed.
Abstract
SARS-CoV-2 infection poses a significant risk increase for adverse pregnancy outcomes both from maternal and fetal sides. A recent publication in BMC Pregnancy and Childbirth presented a machine learning algorithm to predict this risk. This commentary will discuss potential implications and applications of this study for future global health policies.