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Lívia Ohana Rocha Oak Rose

Universidade Estadual de Campinas (UNICAMP) - Institute of Mathematics, Statistics and Scientific Computing (IMEEC)

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Construction and Validation of an Obstetric Risk Classification Engine to Support Intensive Care Unit (ICU) Admission Using Machine Learning

Number of pages: 34 Posted: 28 Dec 2022
Fabiano Miguel Soares, Lívia Ohana Rocha Oak Rose, Jose Cecatti, Adriana Gomes Luz, Oluwafunmilola Deborah Awe, Estevão Laureano Esmi and Rodolfo Carvalho Pacagnella
Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Institute of Mathematics, Statistics and Scientific Computing (IMEEC), Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynecology, Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Institute of Mathematics, Statistics and Scientific Computing (IMEEC) and University of Campinas - Department of Obstetrics & Gynecology
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Maternal Mortality, Intensive Care Unit, Maternal Health, Machine Learning, Artificial Intelligence