Signal-Guided Multitask Learning for Myocardial Infarction Classification Using Images of Electrocardiogram

Signal-guided multitask DL algorithm demonstrated superior performance compared with previous single-task algorithm. The DL algorithm supports the physicians' decision discriminating MI ECGs from non-MI ECGs. The improvement was consistent in subgroups of STEMI and NSTEMI.

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Publication Details

Journal
Cardiology
Published
2024-11-06
DOI
https://doi.org/10.1159/000542399
Citations
2
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.80
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article

Signal-Guided Multitask Learning for Myocardial Infarction Classification Using Images of Electrocardiogram

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2 citations
Cardiology
ECG Monitoring and Analysis
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article

Signal-Guided Multitask Learning for Myocardial Infarction Classification Using Images of Electrocardiogram

Jang Hoon Lee, Myeong Seop Kim, Jungrae Cho, Hyuk Kyoon Park, Myung Hwan Bae, Se Yong Jang, Dong Heon Yang, Minsu Jung, Yongkeun Cho, Hong Nyun Kim, Sungmoon Jeong, Bo Eun Park, Hyohun Choi, Hun Sik Park, Byungeun Shon, Eunkyu Lee, Jong Sung Park, Yoon Jung Park, Namkyun Kim
article en
2 citations

Abstract

Signal-guided multitask DL algorithm demonstrated superior performance compared with previous single-task algorithm. The DL algorithm supports the physicians' decision discriminating MI ECGs from non-MI ECGs. The improvement was consistent in subgroups of STEMI and NSTEMI.

CardiologyVol. 150(4)
Kyungpook National University Hospital (KR), Kyungpook National University (KR)
Good health and well-being
Openalex Percentile: Top 23%
ECG Monitoring and Analysis
0.80
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