Smart Imitator: Learning from Imperfect Clinical Decisions
This study shows potential in advancing personalized healthcare learning from clinician behaviors to improve treatment outcomes. Its methodology offers a robust approach for adaptive, personalized strategies in various complex and uncertain environments.
Authors
- Mengling Feng (ORCID: https://orcid.org/0000-0002-5338-6248)
- Kay Choong See (ORCID: https://orcid.org/0000-0003-2528-7282)
- Siqi Liu (ORCID: https://orcid.org/0000-0002-8649-3162)
- Dilruk Perera
Institutions
- National University of Singapore (SG)
- National University Health System (SG)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1093/jamia/ocae320
- Citations
- 2
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- Cisco Systems
- National Research Foundation
- National Research Foundation Singapore