Prediction of 2-Year Cognitive Outcomes in Very Preterm Infants Using Machine Learning Methods

Authors:
Open Access
Publisher website
Google Scholar
Abstract
Each year, 2.2 million infants are born very preterm (VPT), that is, at a gestational age (GA) younger than 32 weeks.1 Accompanying improved survival, more children are at risk for long-term impairments associated with prematurity, such as cognitive difficulties.2-5 The mean IQ, across childhood, for VPT infants has been reported to be almost 1 SD lower than their full-term counterparts, equivalent to a mean difference of approximately 13 IQ points.6 This finding has important implications for academic achievement, socioeconomic status, and physical and mental health.7-12 Since 1990, the preterm infant mortality rate in high-income countries has decreased by 4% per year, yet no significant improvements in cognitive outcomes have been achieved.2,6,13

This publication has 44 references indexed in Scilit: