Validation, bias assessment, and optimization of the UNAFIED 2-year risk prediction model for undiagnosed atrial fibrillation using national electronic health data
UNAFIED-10, developed using regional patient data, displayed consistent performance in a large national data set. UNAFIED-8 is more parsimonious and generalizable for using advanced analytics for AF detection. Future directions include validation on additional data sets.
Authors
- Randall W. Grout (ORCID: https://orcid.org/0000-0002-2911-6782)
- A. Carmine Colavecchia (ORCID: https://orcid.org/0000-0003-4937-0654)
- Mohammad Ateya (ORCID: https://orcid.org/0000-0002-9345-4049)
- Saira Haque (ORCID: https://orcid.org/0000-0001-8866-9005)
- Danai Aristeridou
- George H. Sands
- Oussama Wazni
- Jessica Zielinski
Institutions
- Cleveland Clinic (US)
- Regenstrief Institute (US)
- Pfizer (United States) (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1016/j.hroo.2024.09.010
- Citations
- 1
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Pfizer