Could a Multi-Marker and Machine Learning Approach Help Stratify Patients with Heart Failure?

Could a Multi-Marker and Machine Learning Approach Help Stratify Patients with Heart Failure?

Half of the patients with heart failure (HF) have preserved ejection fraction (HFpEF). To date, there are no specific markers to distinguish this subgroup. The main objective of this work was to stratify HF patients using current biochemical markers coupled with clinical data. The cohort study inclu...

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Bibliographic Details
Main Authors: Manuela Lotierzo, Romain Bruno, Amanda Finan-Marchi, Fabien Huet, Eran Kalmanovich, Glaucy Rodrigues, Anne-Marie Dupuy, Jérôme Adda, David Piquemal, Sylvain Richard, Jean-Paul Cristol, François Roubille
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Medicina
Subjects:
Machine Learning strategy
HFpEF
blood signature
HF patient stratification
multimarker approach
Online Access:https://www.mdpi.com/1648-9144/57/10/996

Internet

https://www.mdpi.com/1648-9144/57/10/996

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