Bayesian intelligence for medical diagnosis: a pilot study on patient disposition for emergency medicine chest pain
The pilot study results were encouraging. The data-driven BAYES score approach could learn from frequency counting, make fast and accurate decisions, and explain its reasoning. The computer replicated these aspects of diagnostic expertise. More research is needed to reproduce and extend these finding to larger diverse patient populations.
Authors
- Mark W. Perlin (ORCID: https://orcid.org/0000-0001-6914-617X)
- Yves-Dany Accilien
Institutions
- WellStar Health System (US)
- Cybergenetics (United States) (US)
Publication Details
- Journal
- Diagnosis
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1515/dx-2024-0049
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.35