Fast and interpretable mortality risk scores for critical care patients
GroupFasterRisk is a fast, accessible, and flexible procedure that allows learning a diverse set of sparse risk scores for mortality prediction.
Authors
- Cynthia Rudin (ORCID: https://orcid.org/0000-0003-4283-2780)
- Joseph R. Scarpa (ORCID: https://orcid.org/0000-0002-7596-9401)
- Jack Junchi Xu
- Lesia Semenova (ORCID: https://orcid.org/0000-0002-7742-3955)
- Muhang Tian
- Chloe Qinyu Zhu
- Jiachang Liu (ORCID: https://orcid.org/0000-0002-8786-4885)
Institutions
- Microsoft (United States) (US)
- Duke University (US)
- Cornell University (US)
- Microsoft Research (United Kingdom) (GB)
- Microsoft Research New York City (United States)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1093/jamia/ocae318
- Citations
- 2
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- National Science Foundation
- National Institutes of Health
- National Institute on Drug Abuse