Unsupervised Coverage Sampling to Enhance Clinical Chart Review Coverage for Computable Phenotype Development: Simulation and Empirical Study
The proposed coverage sampling method is an easy-to-implement approach that produces a chart review sample that is more representative of the source population. This allows one to learn a CP that has better performance both for subpopulations and the overall cohort. Studies that aim to develop CPs should consider alternative strategies other than randomly sampling patient charts.
Authors
- Zigui Wang (ORCID: https://orcid.org/0000-0002-1472-593X)
- Jillian H. Hurst (ORCID: https://orcid.org/0000-0001-5079-9920)
- Chuan Hong (ORCID: https://orcid.org/0000-0001-7056-9559)
- Benjamin Alan Goldstein (ORCID: https://orcid.org/0000-0001-5261-3632)
Institutions
- Duke University (US)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-10-09
- DOI
- https://doi.org/10.2196/72068
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00