Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study
Integrating unstructured clinical notes and structured EHR data led to a notable enhancement in predicting frailty. This method shows great potential for standardizing frailty assessments using real-world data and improving patient selection for TAVR.
Authors
- R. David Anderson (ORCID: https://orcid.org/0000-0003-3490-3286)
- Mohammad Al‐Ani (ORCID: https://orcid.org/0000-0002-7220-1114)
- Mamoun Mardini (ORCID: https://orcid.org/0000-0002-5345-8811)
- Catherine C. Price (ORCID: https://orcid.org/0000-0001-5994-0644)
- Anthony A. Bavry (ORCID: https://orcid.org/0000-0002-3731-1457)
- Ahmed Zaghloul (ORCID: https://orcid.org/0000-0002-3647-7404)
Institutions
- University of Florida Health (US)
- University of Florida (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- JMIR Aging
- Published
- 2024-11-27
- DOI
- https://doi.org/10.2196/58980
- Citations
- 1
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 0.34
Funders
- National Institutes of Health