ECG Feature Importance Rankings: Cardiologists Vs. Algorithms-Reference-Cited by-同舟云学术

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ECG Feature Importance Rankings: Cardiologists Vs. Algorithms

Published:2024-04 Issue:4 Volume:28 Page:2014-2024
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Mehari Temesgen¹^ORCID,Sundar Ashish²,Bosnjakovic Alen³^ORCID,Harris Peter²,Williams Steven E.⁴^ORCID,Loewe Axel⁵^ORCID,Doessel Olaf⁵^ORCID,Nagel Claudia⁵^ORCID,Strodthoff Nils⁶^ORCID,Aston Philip J.²^ORCID

Affiliation:

1. Heinrich Hertz Institute, Berlin, Germany

2. National Physical Laboratory, Teddington, U.K.

3. Institute of Metrology of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina

4. University of Edinburgh, Edinburgh, U.K.

5. Karlsruhe Institute of Technology, Karlsruhe, Germany

6. University of Oldenburg, Oldenburg, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10491283/10400809.pdf?arnumber=10400809

Reference28 articles.

1. ECG clinical interpretation: A-z by diagnosis,2022

2. Multi-Class ECG Feature Importance Rankings: Cardiologists vs. Algorithms

3. EKG-Kurs für Isabel

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. Using explainable AI to investigate electrocardiogram changes during healthy aging—From expert features to raw signals;PLOS ONE;2024-04-11

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