Artificial intelligence algorithm for predicting mortality of patients with acute heart failure-Reference-Cited by-同舟云学术

Artificial intelligence algorithm for predicting mortality of patients with acute heart failure

Published:2019-07-08 Issue:7 Volume:14 Page:e0219302
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Kwon Joon-myoung,Kim Kyung-Hee^ORCID,Jeon Ki-Hyun,Lee Sang Eun,Lee Hae-Young,Cho Hyun-Jai,Choi Jin Oh,Jeon Eun-Seok,Kim Min-Seok,Kim Jae-Joong,Hwang Kyung-Kuk,Chae Shung Chull,Baek Sang Hong,Kang Seok-Min,Choi Dong-Ju,Yoo Byung-Su^ORCID,Kim Kye Hun,Park Hyun-Young,Cho Myeong-Chan,Oh Byung-Hee

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference31 articles.

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3. Epidemiology and aetiology of heart failure;B Ziaeian;Nat Rev Cardiol,2016

4. Validation and Comparison of Seven Mortality Prediction Models for Hospitalized Patients With Acute Decompensated Heart Failure;T Lagu;Circ Hear Fail,2016

5. Predicting survival in heart failure: A risk score based on 39 372 patients from 30 studies;SJ Pocock;Eur Heart J,2013

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