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: Szymon Urban, Mikołaj Błaziak, Maksym Jura, Gracjan Iwanek, Agata Zdanowicz, Mateusz Guzik, Artur Borkowski, Piotr Gajewski, Jan Biegus, Agnieszka Siennicka, Maciej Pondel, Petr Berka, Piotr Ponikowski, Robert Zymliński
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Biomedicines
Subjects:
acute heart failure
machine learning
clustering
Online Access:https://www.mdpi.com/2227-9059/10/7/1514

Internet

https://www.mdpi.com/2227-9059/10/7/1514

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