Machine learning‐based model for predicting 1 year mortality of hospitalized patients with heart failure-Reference-Cited by-同舟云学术

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

Published:2021-08-13 Issue:5 Volume:8 Page:4077-4085
ISSN:2055-5822
Container-title:ESC Heart Failure
language:en
Short-container-title:ESC Heart Failure

Author:

Tohyama Takeshi¹²^ORCID,Ide Tomomi²,Ikeda Masataka²,Kaku Hidetaka²,Enzan Nobuyuki²,Matsushima Shouji²,Funakoshi Kouta¹,Kishimoto Junji¹,Todaka Koji¹,Tsutsui Hiroyuki²

Affiliation:

1. Center for Clinical and Translational Research of Kyushu University Hospital Higashi‐ku, Fukuoka‐shi Fukuoka Japan

2. Department of Cardiovascular Medicine, Faculty of Medical Sciences Kyushu University Higashi‐ku, Fukuoka‐shi Fukuoka Japan

Funder

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ehf2.13556

Reference30 articles.

1. Global Public Health Burden of Heart Failure

2. Heart Disease and Stroke Statistics—2014 Update

3. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies

4. The annual global economic burden of heart failure

5. 2013 ACCF/AHA Guideline for the Management of Heart Failure

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