Open AccessA Network-Based “Phenomics” Approach for Discovering Patient Subtypes From High-Throughput Cardiac Imaging Data
Author(s) -
Jung Sun Cho,
Sirish Shrestha,
Nobuyuki Kagiyama,
Lan Hu,
Yasir Abdul Ghaffar,
Grace CasaclangVerzosa,
Irfan Zeb,
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.2020.02.008
Subject(s) - medicine , heart failure , receiver operating characteristic , cardiology , artificial intelligence , computer science
The authors present a method that focuses on cohort matching algorithms for performing patient-to-patient comparisons along multiple echocardiographic parameters for predicting meaningful patient subgroups.
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