Machine learning model for predicting 1-year and 3-year all-cause mortality in ischemic heart failure patients-Reference-Cited by-同舟云学术

Machine learning model for predicting 1-year and 3-year all-cause mortality in ischemic heart failure patients

Published:2022-08-24 Issue:8 Volume:134 Page:810-819
ISSN:0032-5481
Container-title:Postgraduate Medicine
language:en
Short-container-title:Postgraduate Medicine

Author:

Cai Anping¹^ORCID,Chen Rui²^ORCID,Pang Chengcheng³^ORCID,Liu Hui²^ORCID,Zhou Yingling¹^ORCID,Chen Jiyan¹,Li Liwen¹^ORCID

Affiliation:

1. Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

2. Department of Radiology, Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

3. Department of Maternal-Fetal Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Funder

National Key Research and Development Program of China

Guangdong Provincial People’s Hospital Clinical Research Fund

Guangdong Provincial Key Laboratory of Coronary Artery Disease Prevention Fund

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/00325481.2022.2115735

Reference29 articles.

1. Burden of heart failure and underlying causes in 195 countries and territories from 1990 to 2017

2. Epidemiology of heart failure

3. Natriuretic Peptides as Inclusion Criteria in Clinical Trials

4. Risk Stratification for In-Hospital Mortality in Acutely Decompensated Heart FailureClassification and Regression Tree Analysis

5. Predicting Mortality Among Patients Hospitalized for Heart Failure

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