Harnessing temporal patterns in administrative patient data to predict risk of emergency hospital admission
UKRI CDT in AI for Healthcare, UKRI Turing AI Fellowship, NIHR Imperial Biomedical Research Centre, and Research Capability Funding.
Authors
- A. Aldo Faisal (ORCID: https://orcid.org/0000-0003-0813-7207)
- Roman Klapaukh (ORCID: https://orcid.org/0000-0002-6869-733X)
- Stephen J. Brett (ORCID: https://orcid.org/0000-0003-4545-8413)
- Benjamin Post (ORCID: https://orcid.org/0000-0003-0337-0827)
Institutions
- Imperial College London (GB)
Publication Details
- Journal
- The Lancet Digital Health
- Published
- 2025-01-29
- DOI
- https://doi.org/10.1016/s2589-7500(24)00254-1
- Citations
- 3
- Primary Topic
- Medical Coding and Health Information
- Type
- article
- Field-Weighted Citation Impact
- 8.81
Funders
- UK Research and Innovation
- Engineering and Physical Sciences Research Council
- NIHR Imperial Biomedical Research Centre