Design, construction, and validation of obstetric risk classification systems to predict intensive care unit admission
Fabiano Miguel Soares,
Lívia Ohana da Rocha Carvalho Rosa,
José Guilherme Cecatti
et al.
Abstract:IntroductionTo develop and validate a support tool for healthcare providers, enabling them to make precise and critical decisions regarding intensive care unit (ICU) admissions for high‐risk pregnant women, thus enhancing maternal outcomes.MethodsThis retrospective study involves secondary data analysis of information gathered from 9550 pregnant women, who had severe maternal morbidity (any unexpected complication during labor and delivery that leads to substantial short‐term or long‐term health issues for the… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.