Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study

Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study

Abstract BackgroundThe use of acoustic biomarkers derived from speech signals is a promising non-invasive technique for diagnosing type 2 diabetes mellitus (T2DM). Despite its potential, there remains a critical gap in knowledge regarding the optimal number of voice recordings...

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Bibliographic Details
Main Authors: Atousa Assadi, Jessica Oreskovic, Jaycee Kaufman, Yan Fossat
Format: Article
Language:English
Published: JMIR Publications 2025-06-01
Series:JMIR Biomedical Engineering
Online Access:https://biomedeng.jmir.org/2025/1/e64357
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