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.
Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach / N. Salmeri, M. Candiani, P.I. Cavoretto. - In: BMC PREGNANCY AND CHILDBIRTH. - ISSN 1471-2393. - 23:1(2023), pp. 554.1-554.3. [10.1186/S12884-023-05864-3]
Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach
N. SalmeriPrimo
;M. Candiani;P.I. Cavoretto
Ultimo
2023
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.
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