Machine Learning-Based Discrimination of Cardiovascular Outcomes in Patients With Hypertrophic Cardiomyopathy-Reference-Cited by-同舟云学术

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Machine Learning-Based Discrimination of Cardiovascular Outcomes in Patients With Hypertrophic Cardiomyopathy

Published:2024-05 Issue:5 Volume:4 Page:375-386
ISSN:2772-3747
Container-title:JACC: Asia
language:en
Short-container-title:JACC: Asia

Author:

Rhee Tae-Min,Ko Yeon-Kyoung,Kim Hyung-Kwan,Lee Seung-Bo,Kim Bong-Seong,Choi Hong-Mi,Hwang In-Chang^ORCID,Park Jun-Bean^ORCID,Yoon Yeonyee E.,Kim Yong-Jin,Cho Goo-Yeong

Funder

Seoul National University

Publisher

Elsevier BV

Reference32 articles.

1. Trends of the prevalence and incidence of hypertrophic cardiomyopathy in Korea: a nationwide population-based cohort study;Moon;PLoS One,2020

2. A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM risk-SCD);O'Mahony;Eur Heart J,2014

3. Major clinical issues in hypertrophic cardiomyopathy;Lee;Korean Circ J,2022

4. Comparison of mortality and cause of death between adults with and without hypertrophic cardiomyopathy;Kwon;Sci Rep,2022

5. Supplementary role of left ventricular global longitudinal strain for predicting sudden cardiac death in hypertrophic cardiomyopathy;Lee;Eur Heart J Cardiovasc Imaging,2022

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. Integrating machine learning approach to identify sleep-disordered breathing in hypertrophic cardiomyopathy;Heart;2024-05-27

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