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

This structured critical review provides a comparative and analytically grounded overview 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 P...

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Autori principali: Zhadyra Alimbayeva, Chingiz Alimbayev, Kassymbek Ozhikenov, Aiman Ozhikenova, Ussen Shylmyrza, Kymbat Khaidarova
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-05-01
Serie:Applied Sciences
Soggetti:
ECG
dysglycemia
machine learning
deep learning
HRV
non-invasive screening
Accesso online:https://www.mdpi.com/2076-3417/16/11/5359
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