Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules
The TURS model provided a concise summary of patient subgroups, aiding ICU discharge decisions and advancing knowledge discovery in the ICU.
Authors
- Matthijs van Leeuwen (ORCID: https://orcid.org/0000-0002-0510-3549)
- Lincen Yang (ORCID: https://orcid.org/0000-0003-1936-2784)
- Siri Lise van der Meijden (ORCID: https://orcid.org/0000-0002-9343-0899)
- M. Sesmu Arbous (ORCID: https://orcid.org/0000-0001-5242-3257)
Institutions
- Leiden University (NL)
- University of Applied Sciences Leiden (NL)
- Leiden University Medical Center (NL)
- Department of Health (ZA)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1093/jamia/ocaf171
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00