Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-21568
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Impact of diabetes mellitus on voice : a methodological commentary
Authors: Sidorova, Julia
Anisimova, Maria
et. al: No
DOI: 10.1016/j.jvoice.2020.05.015
10.21256/zhaw-21568
Published in: The Journal of Voice
Volume(Issue): 36
Issue: 2
Pages: 294.E1
Pages to: 294.E12
Issue Date: 29-Jul-2020
Publisher / Ed. Institution: Elsevier
ISSN: 0892-1997
1873-4588
Language: English
Subject (DDC): 616: Internal medicine and diseases
Abstract: Lately, substantial research effort focussed on diagnosing diabetes with noninvasive methods such as hair analysis, facial expression analysis, and acoustic analysis of voice. The aim is two-fold: (1) building a cost-effective tool for the diagnosis of diabetes mellitus (DM) in the contexts, when standard tests are unaffordable or decided against for a different reason, and (2) describing voice changes in diabetic patients in a way that can provide insights to a physician (...). It should be said that noninvasive biomarkers for diabetes are high-risk/ high-reward research with many products being retracted or never reaching the market, e.g., in noninvasive glucose monitoring.
URI: https://digitalcollection.zhaw.ch/handle/11475/21568
Fulltext version: Accepted version
License (according to publishing contract): CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Restricted until: 2021-07-30
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Computational Life Sciences (ICLS)
Appears in collections:Publikationen Life Sciences und Facility Management

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