Comparative Study on Prediction of Mortality in Heart Failure Patients using Nine Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Comparative Study on Prediction of Mortality in Heart Failure Patients using Nine Machine Learning Algorithms

Published:2022-09-30 Issue:9 Volume:20 Page:105-114
ISSN:1598-8619
Container-title:The Journal of Korean Institute of Information Technology
language:en
Short-container-title:jkiit

Author:

Lee HeeJeong Jasmine^ORCID

Publisher

Korean Institute of Information Technology

Subject

General Medicine

Reference22 articles.

1. Targeting GPCR-Gβγ-GRK2 signaling as a novel strategy for treating cardiorenal pathologies

2. Epidemiology and aetiology of heart failure

3. Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

4. Explaining Heart Failure Hyper-mortality in Sub Saharan Africa: Global Genomic and Environmental Contribution Review

5. 2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable Machine Learning Approach with Augmentation for Mortality Prediction;2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2023-04-29

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