Predicting Cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care data
The NIHR Great Ormond Street Biomedical Research Centre at UCL and the Great Ormond Street Hospital Children's Charity peer-reviewed grant award.
Authors
- Neil J. Sebire (ORCID: https://orcid.org/0000-0001-5348-9063)
- John Booth (ORCID: https://orcid.org/0000-0003-4357-1324)
- Mark Peters (ORCID: https://orcid.org/0000-0003-3653-4808)
- Payam Barnaghi (ORCID: https://orcid.org/0000-0001-8591-9638)
- Dan F. Stein (ORCID: https://orcid.org/0000-0001-7904-832X)
- Michael J. Carter (ORCID: https://orcid.org/0000-0003-3403-4746)
- Samiran Ray (ORCID: https://orcid.org/0000-0002-3738-4672)
- Mario Cortina‐Borja (ORCID: https://orcid.org/0000-0003-0627-2624)
Institutions
- King's College London (GB)
- Great Ormond Street Hospital (GB)
- Great Ormond Street Hospital for Children NHS Foundation Trust (GB)
- UCL Biomedical Research Centre (GB)
- Oxford University Hospitals NHS Trust (GB)
- Institute of Infection and Immunity (CA)
- University College London (GB)
- Imperial College London (GB)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1016/j.eclinm.2025.103255
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UK Research and Innovation
- National Institute for Health and Care Research
- Royal Academy of Engineering
- King's College London
- University College London
- Great Ormond Street Hospital Charity
- UK Dementia Research Institute
- Medical Research Council
- Engineering and Physical Sciences Research Council