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 Wales

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Publication Details

Journal
EBioMedicine
Published
2025-06-17
DOI
https://doi.org/10.1016/j.ebiom.2025.105811
Citations
3
Primary Topic
Infant Development and Preterm Care
Type
article
Field-Weighted Citation Impact
10.48
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article

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 Wales

Sadia Haider, Cheryl Battersby, James P. Boardman, Riccardo E. Marioni et al.
3 citations
EBioMedicine
Infant Development and Preterm Care
10.48
article

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 Wales

Sadia Haider, Cheryl Battersby, James P. Boardman, Riccardo E. Marioni, Simon R. Cox, Athanasios Tsanas, G. David Batty, Rebecca M. Reynolds, Heather C. Whalley
article en
3 citations

Abstract

No abstract available for this paper.
EBioMedicineVol. 117
Turing Institute (GB), NHS Lothian (GB), Edinburgh Cancer Research (GB), MRC Centre for Regenerative Medicine (GB), MRC Centre for Reproductive Health (GB), The Queen's Medical Research Institute (GB), University College London (GB), Imperial College London (GB), University of Edinburgh (GB)
Openalex Percentile: Top 2%
Infant Development and Preterm Care
10.48
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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 Wales — Sadia Haider, Cheryl Battersby, et al. · EBioMedicine (2025) | TGRS Research Map | TGRS