Translating Complex Machine-Learning Phenogrouping Into Simple Algorithm: Atrium, Ventricle, and Fibrosis in Mitral Valve Prolapse

JACC Cardiovasc Imaging. 2023 Oct;16(10):1285-1287. doi: 10.1016/j.jcmg.2023.07.010. Epub 2023 Sep 6.

Author

Nobuyuki Kagiyama¹

Affiliation

¹ Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan. Electronic address: kgnb_27_hot@yahoo.co.jp.

PMID: 37676208
DOI: 10.1016/j.jcmg.2023.07.010

No abstract available

Keywords: cardiac remodeling; machine learning; mitral regurgitation; mitral valve prolapse; unsupervised learning.

Publication types

Editorial
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Fibrosis
Heart Ventricles
Humans
Mitral Valve Insufficiency* / diagnostic imaging
Mitral Valve Insufficiency* / etiology
Mitral Valve Insufficiency* / surgery
Mitral Valve Prolapse* / diagnostic imaging
Mitral Valve Prolapse* / genetics
Predictive Value of Tests