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

Journal: Pediatric research
PMID: 35641551

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.

Authors

  • Stephanie Baker
    College of Science and Engineering, James Cook University, Townsville, 4811, Australia. stephanie.baker@jcu.edu.au.
  • Yogavijayan Kandasamy
    Department of Neonatology, Townsville Hospital and Health Service, Townsville, QLD, 4810, Australia.

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