Interpatient Similarities in Cardiac Function
Author(s) -
Márton Tokodi,
Sirish Shrestha,
Christopher Bianco,
Nobuyuki Kagiyama,
Grace CasaclangVerzosa,
Jagat Narula,
Partho P. Sengupta
Publication year - 2020
Publication title -
jacc. cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.79
H-Index - 120
eISSN - 1936-878X
pISSN - 1876-7591
DOI - 10.1016/j.jcmg.2019.12.018
Subject(s) - mace , generalizability theory , medicine , retrospective cohort study , cohort , prospective cohort study , cardiology , cohort study , myocardial infarction , psychology , developmental psychology , conventional pci
The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE) in an individual patient.
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