Can we develop real-world prognostic models using observational healthcare data? Large-scale experiment to investigate model sensitivity to database and phenotypes
These results highlight the importance of validating a model developed using observational data in the clinical setting prior to using it for decision-making. Calibration and Brier score should be evaluated to prevent miscalibrated risk estimates being used to aid clinical decisions.
Authors
- Jenna Reps (ORCID: https://orcid.org/0000-0002-2970-0778)
- Peter R. Rijnbeek (ORCID: https://orcid.org/0000-0003-0621-1979)
- Patrick B. Ryan (ORCID: https://orcid.org/0000-0002-9727-2138)
Institutions
- Erasmus MC (NL)
Publication Details
- Journal
- Diagnostic and Prognostic Research
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1186/s41512-025-00191-x
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48