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A Systematic Review of Machine Learning Approaches for ECG-Based Detection of Dysglycemia and Their Translational Readiness

2026-04-27

Abstract excerpt

This systematic review provides a comprehensive and quantitatively grounded synthesis of machine learning (ML) approaches for electrocardiography (ECG)-based detection of dysglycemia, with a specific focus on translational readiness for clinical screening. A structured literature search across PubMed, Scopus, Web of Science, and IEEE Xplore (February 2025) identified 183 records, of which 17 studies met predefined...

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Literature Corpus work
c017bbdf-a043-5ebc-9aa8-33234a5b004d
DOI
10.20944/preprints202604.1806.v1
Open publication

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A Systematic Review of Machine Learning Approaches for ECG-Based Detection of Dysglycemia and Their Translational ReadinessDOI 10.20944/preprints202604.1806.v1
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