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

Mapping Intimacies ◽

10.26226/morressier.5d19cfb257558b317a10dd81 ◽

2019 ◽

Author(s):

Matthew Segar ◽

Ambarish Pandey

Keyword(s):

Machine Learning ◽

Heart Failure ◽

Cluster Analysis ◽

Ejection Fraction ◽

Preserved Ejection Fraction ◽

Unsupervised Cluster ◽

Patients With Heart Failure ◽

Unsupervised Cluster Analysis

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Phenomapping of patients with heart failure with preserved ejection fraction using machine learning‐based unsupervised cluster analysis

European Journal of Heart Failure ◽

10.1002/ejhf.1621 ◽

2019 ◽

Vol 22 (1) ◽

pp. 148-158 ◽

Author(s):

Matthew W. Segar ◽

Kershaw V. Patel ◽

Colby Ayers ◽

Mujeeb Basit ◽

W.H. Wilson Tang ◽

...

Keyword(s):

Machine Learning ◽

Heart Failure ◽

Cluster Analysis ◽

Ejection Fraction ◽

Preserved Ejection Fraction ◽

Unsupervised Cluster ◽

Patients With Heart Failure ◽

Unsupervised Cluster Analysis

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Phenomapping Heart Failure with Preserved Ejection Fraction Using Machine Learning Cluster Analysis

Heart Failure Clinics ◽

10.1016/j.hfc.2021.02.010 ◽

2021 ◽

Vol 17 (3) ◽

pp. 499-518

Author(s):

Elena Galli ◽

Corentin Bourg ◽

Wojciech Kosmala ◽

Emmanuel Oger ◽

Erwan Donal

Keyword(s):

Machine Learning ◽

Heart Failure ◽

Cluster Analysis ◽

Ejection Fraction ◽

Preserved Ejection Fraction

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Heartbeat: can machine learning improve outcomes in patients with heart failure with preserved ejection fraction?

Heart ◽

10.1136/heartjnl-2020-316635 ◽

2020 ◽

Vol 106 (5) ◽

pp. 315-317

Author(s):

Catherine M Otto

Keyword(s):

Machine Learning ◽

Heart Failure ◽

Ejection Fraction ◽

Preserved Ejection Fraction ◽

Patients With Heart Failure

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UNSUPERVISED MACHINE LEARNING IDENTIFIES TREATMENT RESPONSE TO SPIRONOLACTONE IN PATIENTS WITH HEART FAILURE WITH PRESERVED EJECTION FRACTION: A TOPCAT SUBSTUDY

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(19)31270-7 ◽

2019 ◽

Vol 73 (9) ◽

pp. 662

Author(s):

Shane Nanayakkara ◽

Anna Beale ◽

Michael Inouye ◽

David Kaye

Keyword(s):

Machine Learning ◽

Heart Failure ◽

Ejection Fraction ◽

Treatment Response ◽

Preserved Ejection Fraction ◽

Unsupervised Machine Learning ◽

Patients With Heart Failure

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Unsupervised Machine Learning Identifies Treatment Response to Spironolactone in Patients with Heart Failure with Preserved Ejection Fraction: A TOPCAT Substudy

Heart Lung and Circulation ◽

10.1016/j.hlc.2019.06.146 ◽

2019 ◽

Vol 28 ◽

pp. S196

Author(s):

S. Nanayakkara ◽

A. Beale ◽

M. Inouye ◽

D. Kaye

Keyword(s):

Machine Learning ◽

Heart Failure ◽

Ejection Fraction ◽

Treatment Response ◽

Preserved Ejection Fraction ◽

Unsupervised Machine Learning ◽

Patients With Heart Failure

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Faculty Opinions recommendation of Irbesartan in patients with heart failure and preserved ejection fraction.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1131980.597949 ◽

2009 ◽

Author(s):

Jerome Fleg

Keyword(s):

Heart Failure ◽

Ejection Fraction ◽

Preserved Ejection Fraction ◽

Patients With Heart Failure

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Faculty Opinions recommendation of Effect of spironolactone on diastolic function and exercise capacity in patients with heart failure with preserved ejection fraction: the Aldo-DHF randomized controlled trial.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717982210.793472389 ◽

2013 ◽

Author(s):

Marco Metra

Keyword(s):

Heart Failure ◽

Randomized Controlled Trial ◽

Ejection Fraction ◽

Diastolic Function ◽

Exercise Capacity ◽

Controlled Trial ◽

Preserved Ejection Fraction ◽

Randomized Controlled ◽

Patients With Heart Failure

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Faculty of 1000 evaluation for Effect of Endurance Exercise Training on Endothelial function and Arterial Stiffness in Older Patients with Heart Failure and Preserved Ejection Fraction: A Randomized, Controlled, Single-Blind Trial.

F1000 - Post-publication peer review of the biomedical literature ◽

10.3410/f.718009671.793478101 ◽

2013 ◽

Author(s):

Philip Liebson

Keyword(s):

Heart Failure ◽

Arterial Stiffness ◽

Ejection Fraction ◽

Older Patients ◽

Preserved Ejection Fraction ◽

Randomized Controlled ◽

Endurance Exercise Training ◽

Patients With Heart Failure ◽

Single Blind ◽

Single Blind Trial

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Faculty Opinions recommendation of Prior pacemaker implantation and clinical outcomes in patients with heart failure and preserved ejection fraction.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.735524857.793559886 ◽

2019 ◽

Author(s):

Gad Cotter ◽

Olga Milo

Keyword(s):

Heart Failure ◽

Ejection Fraction ◽

Clinical Outcomes ◽

Pacemaker Implantation ◽

Preserved Ejection Fraction ◽

Patients With Heart Failure

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Faculty Opinions recommendation of Age-Related Characteristics and Outcomes of Patients With Heart Failure With Preserved Ejection Fraction.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.736281209.793564893 ◽

2019 ◽

Author(s):

Wilbert Aronow

Keyword(s):

Heart Failure ◽

Ejection Fraction ◽

Preserved Ejection Fraction ◽

Age Related ◽

Patients With Heart Failure

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