Risk of bias in machine learning and statistical models to predict height or weight: a systematic review in fetal and paediatric medicine
The review was registered on PROSPERO (ID: CRD42023421146), the International prospective register of systematic reviews on 26/4/2023.
Authors
- Nils Krone (ORCID: https://orcid.org/0000-0002-3402-4727)
- Jeremy Dawson (ORCID: https://orcid.org/0000-0002-9365-8586)
- Joseph Tonge
- Neil Lawrence (ORCID: https://orcid.org/0000-0002-7686-6172)
- Paula Dhiman (ORCID: https://orcid.org/0000-0002-0989-0623)
- Professor Gary S. Collins (ORCID: https://orcid.org/0000-0002-2772-2316)
- Irina Bacila (ORCID: https://orcid.org/0000-0001-7726-4299)
- Zi–Qiang Lang (ORCID: https://orcid.org/0000-0003-3598-089X)
- Anthea Tucker
Institutions
- Nuffield Orthopaedic Centre (GB)
- University of Oxford (GB)
- Sheffield Children's Hospital (GB)
- University of Birmingham (GB)
- University of Sheffield (GB)
Publication Details
- Journal
- Diagnostic and Prognostic Research
- Published
- 2025-12-14
- DOI
- https://doi.org/10.1186/s41512-025-00215-6
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00