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Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning

Research article (BMC Medical Informatics and Decision Making, 2021) · cited 97× · AI/ML
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Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning

Summary

Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning is a scholarly article[1].

Key Facts

  • Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-covid-19-electrocardiograms-by-using-hexaxial-feature-mapping-and-deep-learning
MLA “Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-covid-19-electrocardiograms-by-using-hexaxial-feature-mapping-and-deep-learning.
BibTeX @misc{4ortxyz_classification-of-covid-19-electrocardiograms-by-using-hexaxial-feature-mapping-and-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-covid-19-electrocardiograms-by-using-hexaxial-feature-mapping-and-deep-learning}, note = {Accessed: 2026-05-24}}
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