Statistical learning to identify and characterise neurodevelopmental outcomes at 2 years in babies born preterm: model development and validation using population-level data from England and WalesResearch in context

Statistical learning to identify and characterise neurodevelopmental outcomes at 2 years in babies born preterm: model development and validation using population-level data from England and WalesResearch in context

Summary: Background: Children born preterm face elevated risks of neurodevelopmental impairments across domains. Prior studies have relied on expert-imposed typologies within single domains. This study applies statistical learning to a national database to identify transdomain clusters and their ma...

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Bibliographic Details
Main Authors: Sadia Haider, Athanasios Tsanas, G. David Batty, Rebecca M. Reynolds, Heather C. Whalley, Simon R. Cox, Riccardo E. Marioni, Cheryl Battersby, James P. Boardman
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:EBioMedicine
Subjects:
Preterm
Neonatal
Neurodevelopmental impairments
Neurocognitive
Birth cohorts
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396425002555
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