Implications of Diagnosis Through a Machine Learning Algorithm on Management of People With Familial Hypercholesterolemia
These findings suggest that implementation of a MLA approach such as FIND FH may be feasible for identifying undiagnosed individuals living with FH, as well as addressing treatment disparities in this population at increased cardiovascular risk.
Authors
- Laurence S. Sperling (ORCID: https://orcid.org/0000-0001-9417-6370)
- Shivani Lam
- David Kulp (ORCID: https://orcid.org/0000-0001-5556-1399)
- Kain Kim (ORCID: https://orcid.org/0000-0002-3989-1379)
- Xinwei He (ORCID: https://orcid.org/0000-0001-7267-0394)
- Danny J. Eapen
- Samir C. Faruque
Institutions
- Emory University (US)
- Washington University in St. Louis (US)
- Emory Clinic (US)
Publication Details
- Journal
- JACC Advances
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1016/j.jacadv.2024.101184
- Citations
- 5
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- Emory University
- Abraham J. and Phyllis Katz Foundation