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Neonatal Morbidities clinical trials

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NCT ID: NCT03398551 Not yet recruiting - Perinatal Mortality Clinical Trials

Machine Learning From Fetal Flow Waveforms to Predict Adverse Perinatal Outcomes

Start date: February 2018
Phase: N/A
Study type: Observational

The aim of this study is to get a proof of concept for using a computational model of fetal haemodynamics, combined with machine learning based on Doppler patterns of the fetal cardiovascular, cerebral and placental flows, to identify those at increased risk of adverse perinatal outcomes such as stillbirth, perinatal mortality and other neonatal morbidities. We will also compare the sensitivity and specificity of UmbiFlow device with the machine learning model in predicting adverse perinatal outcomes