Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58980, first published .
Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study

Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study

Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study

Mamoun T Mardini   1 , MS, PhD ;   Chen Bai   1 , MS ;   Anthony A Bavry   2 , MPH, MD ;   Ahmed Zaghloul   2 , MD ;   R David Anderson   3 , MD ;   Catherine E Crenshaw Price   4, 5 , PhD ;   Mohammad A Z Al-Ani   3 , MD

1 Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States

2 Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States

3 Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, FL, United States

4 Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States

5 Perioperative Cognitive Anesthesia Network for Alzheimer’s Disease and Related Dementias, University of Florida, Gainesville, FL, United States

Corresponding Author:

  • Mamoun T Mardini, MS, PhD
  • Health Outcomes and Biomedical Informatics
  • College of Medicine
  • University of Florida
  • 1889 Museum Rd, 7th Floor, Suite 7000
  • Gainesville, FL, 32608
  • United States
  • Phone: 1 352 627 9467
  • Email: mamounmardini@gmail.com