Different Pathophysiology and Outcomes of Heart Failure With Preserved Ejection Fraction Stratified by K-Means Clustering

Different Pathophysiology and Outcomes of Heart Failure With Preserved Ejection Fraction Stratified by K-Means Clustering

Background: Stratified medicine may enable the development of effective treatments for particular groups of patients with heart failure with preserved ejection fraction (HFpEF); however, the heterogeneity of this syndrome makes it difficult to group patients together by common disease features. The...

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Bibliographic Details
Main Authors: Daisuke Harada, Hidetsugu Asanoi, Takahisa Noto, Junya Takagawa
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
heart failure with preserved ejection fraction
artificial intelligence
stratified medicine
machine learning
K-means clustering
right ventricular distensibility
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2020.607760/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2020.607760/full

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