Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review.

ABSTRACT:

Background

Machine learning has been attracting increasing attention for use in healthcare applications, including neonatal medicine. One application for this tool is in understanding and predicting neurodevelopmental outcomes in preterm infants. In this study, we have carried out a systematic review to identify findings and challenges to date.

Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Four databases were searched in February 2022, with articles then screened in a non-blinded manner by two authors.

Results

The literature search returned 278 studies, with 11 meeting the eligibility criteria for inclusion. Convolutional neural networks were the most common machine le

SUBMITTER: Baker S 

PROVIDER: S-EPMC9153218 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature