Time-Adaptive Machine Learning Models for Predicting the Severity of Heart Failure with Reduced Ejection Fraction

Time-Adaptive Machine Learning Models for Predicting the Severity of Heart Failure with Reduced Ejection Fraction

<b>Background:</b> Heart failure with reduced ejection fraction is a complex condition that necessitates adaptive, patient-specific management strategies. This study aimed to evaluate the effectiveness of a time-adaptive machine learning model, the Passive-Aggressive classifier, in predi...

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Bibliographic Details
Main Authors: Trevor Winger, Cagri Ozdemir, Shanti L. Narasimhan, Jaideep Srivastava
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Diagnostics
Subjects:
heart failure with reduced ejection fraction
passive-aggressive classifier
machine learning
personalized machine learning
time-adaptive machine learning
Online Access:https://www.mdpi.com/2075-4418/15/6/715
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