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October 21, 2019European Journal of Heart Failure316 citationsOpen Access

Phenomapping of Patients with Heart Failure with Preserved Ejection Fraction Using Machine Learning-Based Unsupervised Cluster Analysis

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MSMatthew W. SegarKPKershaw V. PatelCAColby Ayers

Key Points

  • The study aims to identify distinct phenogroups among patients with heart failure and preserved ejection fraction (HFpEF) using machine learning techniques.
  • Utilized machine learning-based unsupervised cluster analysis

Structured PICO

Can machine learning-based unsupervised cluster analysis identify distinct phenogroups with differing clinical characteristics and long-term outcomes in patients with HFpEF?

P
Population
Patients with Heart Failure with Preserved Ejection Fraction (HFpEF)
I
Intervention
Machine learning-based unsupervised cluster analysis (phenomapping)
O
Outcome
Identification of phenogroups with distinct clinical characteristics and long-term outcomes

Machine learning-based unsupervised cluster analysis can successfully identify distinct phenogroups of HFpEF patients with differing clinical characteristics and long-term outcomes.

Abstract

Machine learning-based cluster analysis can identify phenogroups of patients with HFpEF with distinct clinical characteristics and long-term outcomes.

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Cite This Study

Segar et al. (2019) studied this question.

synapsesocial.com/papers/69d575396e4506aa303c145fhttps://doi.org/10.1002/ejhf.1621
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Lifetime Risk for Developing Congestive Heart Failure2002 · 1,618 citations
  2. 2Characterization of Subgroups of Heart Failure Patients with Preserved Ejection Fraction with Possible Implications for Prognosis and Treatment Response2015 · 286 citations
  3. 3Phenotype-Specific Treatment of Heart Failure With Preserved Ejection Fraction2016 · 1,003 citations
  4. 4Evidence Supporting the Existence of a Distinct Obese Phenotype of Heart Failure With Preserved Ejection Fraction2017 · 1,158 citations
  5. 5Abdominal Obesity Is Associated With an Increased Risk of All-Cause Mortality in Patients With HFpEF2017 · 232 citations