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Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach.
- Source :
-
BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2023 Aug 02; Vol. 23 (1), pp. 554. Date of Electronic Publication: 2023 Aug 02. - Publication Year :
- 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.<br /> (© 2023. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1471-2393
- Volume :
- 23
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- BMC pregnancy and childbirth
- Publication Type :
- Editorial & Opinion
- Accession number :
- 37532988
- Full Text :
- https://doi.org/10.1186/s12884-023-05864-3