Machine learning‐based model for predicting 1 year mortality of hospitalized patients with heart failure

Machine learning‐based model for predicting 1 year mortality of hospitalized patients with heart failure

Abstract Aims Individual risk stratification is a fundamental strategy in managing patients with heart failure (HF). Artificial intelligence, particularly machine learning (ML), can develop superior models for predicting the prognosis of HF patients, and administrative claim data (ACD) are suitable...

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Bibliographic Details
Main Authors: Takeshi Tohyama, Tomomi Ide, Masataka Ikeda, Hidetaka Kaku, Nobuyuki Enzan, Shouji Matsushima, Kouta Funakoshi, Junji Kishimoto, Koji Todaka, Hiroyuki Tsutsui
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:ESC Heart Failure
Subjects:
Artificial intelligence
Heart failure
Machine learning
Risk prediction
Online Access:https://doi.org/10.1002/ehf2.13556

Internet

https://doi.org/10.1002/ehf2.13556

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