Novel Phenotyping for Acute Heart Failure—Unsupervised Machine Learning-Based Approach

Novel Phenotyping for Acute Heart Failure—Unsupervised Machine Learning-Based Approach

Acute heart failure (AHF) is a life-threatening, heterogeneous disease requiring urgent diagnosis and treatment. The clinical severity and medical procedures differ according to a complex interplay between the deterioration cause, underlying cardiac substrate, and comorbidities. This study aimed to...

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Bibliographic Details
Main Authors: Berka, P. (Author), Biegus, J. (Author), Błaziak, M. (Author), Borkowski, A. (Author), Gajewski, P. (Author), Guzik, M. (Author), Iwanek, G. (Author), Jura, M. (Author), Pondel, M. (Author), Ponikowski, P. (Author), Siennicka, A. (Author), Urban, S. (Author), Zdanowicz, A. (Author), Zymliński, R. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
acute heart failure
clustering
machine learning
Online Access:View Fulltext in Publisher

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