AI-based cluster analysis enables outcomes prediction among patients with increased LVM
Unsupervised cluster analysis identified four outcomes-correlated clusters among patients with increased LVM. This phenotypic classification holds promise in offering valuable insights regarding clinical course and outcomes of patients with increased LVM.
Authors
- Ranel Loutati (ORCID: https://orcid.org/0009-0008-9012-9540)
- Yotam Kolben (ORCID: https://orcid.org/0000-0003-0170-1186)
- Yitschak Biton (ORCID: https://orcid.org/0000-0001-5844-8551)
- David Luria (ORCID: https://orcid.org/0000-0002-8497-208X)
- Offer Amir
Institutions
- Hebrew University of Jerusalem (IL)
- Hadassah Medical Center (IL)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2024-09-02
- DOI
- https://doi.org/10.3389/fcvm.2024.1357305
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00