Journal article
Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study
Abstract
BackgroundPregnant people are particularly vulnerable to SARS-CoV-2 infection and to ensuing severe illness. Predicting adverse maternal and perinatal outcomes could aid clinicians in deciding on hospital admission and early initiation of treatment in affected individuals, streamlining the triaging processes.MethodsAn international repository of 1501 SARS-CoV-2-positive cases in pregnancy was created, consisting of demographic variables, …
Authors
Young D; Houshmand B; Tan CC; Kirubarajan A; Parbhakar A; Dada J; Whittle W; Sobel ML; Gomez LM; Rüdiger M
Journal
BMC Pregnancy and Childbirth, Vol. 23, No. 1,
Publisher
Springer Nature
DOI
10.1186/s12884-023-05679-2
ISSN
1471-2393