An Artificial Intelligence Approach to Guiding the Management of Heart Failure Patients Using Predictive Models: A Systematic Review

An Artificial Intelligence Approach to Guiding the Management of Heart Failure Patients Using Predictive Models: A Systematic Review

Heart failure (HF) is one of the leading causes of mortality and hospitalization worldwide. The accurate prediction of mortality and readmission risk provides crucial information for guiding decision making. Unfortunately, traditional predictive models reached modest accuracy in HF populations. We t...

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Bibliographic Details
Main Authors: Mikołaj Błaziak, Szymon Urban, Weronika Wietrzyk, Maksym Jura, Gracjan Iwanek, Bartłomiej Stańczykiewicz, Wiktor Kuliczkowski, Robert Zymliński, Maciej Pondel, Petr Berka, Dariusz Danel, Jan Biegus, Agnieszka Siennicka
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Biomedicines
Subjects:
artificial intelligence
machine learning
deep learning
heart failure
predictive model
systematic review
Online Access:https://www.mdpi.com/2227-9059/10/9/2188

Internet

https://www.mdpi.com/2227-9059/10/9/2188

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