A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor.
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ABSTRACT:
SUBMITTER: Podda M
PROVIDER: S-EPMC6137213 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature
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A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor.
Podda Marco M Bacciu Davide D Micheli Alessio A Bellù Roberto R Placidi Giulia G Gagliardi Luigi L
Scientific reports 20180913 1
Estimation of mortality risk of very preterm neonates is carried out in clinical and research settings. We aimed at elaborating a prediction tool using machine learning methods. We developed models on a cohort of 23747 neonates <30 weeks gestational age, or <1501 g birth weight, enrolled in the Italian Neonatal Network in 2008-2014 (development set), using 12 easily collected perinatal variables. We used a cohort from 2015-2016 (N = 5810) as a test set. Among several machine learning methods we ...[more]
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