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

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...

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Bibliographic Details
Main Authors: Noemi Salmeri, Massimo Candiani, Paolo Ivo Cavoretto
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Pregnancy and Childbirth
Subjects:
SARS-CoV-2
COVID-19
Pregnancy
Machine learning
Artificial intelligence
Online Access:https://doi.org/10.1186/s12884-023-05864-3

Internet

https://doi.org/10.1186/s12884-023-05864-3

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