Voice disorders classification using machine learning: a scoping review.

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Bibliographic Details
Title: Voice disorders classification using machine learning: a scoping review.
Authors: Gupta R; Computing and Audio Research Laboratory, School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia., Jin CT; Computing and Audio Research Laboratory, School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia., Gunjawate DR; Voice Research Laboratory, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.; Department of Audiology and Speech Language Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Mangalore, India., Nguyen DD; Voice Research Laboratory, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia., Stasak B; Voice Research Laboratory, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia., Chacon AM; Voice Research Laboratory, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia., Madill C; Voice Research Laboratory, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Source: Frontiers in digital health [Front Digit Health] 2026 Jun 08; Vol. 8, pp. 1800132. Date of Electronic Publication: 2026 Jun 08 (Print Publication: 2026).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-253X
DOI:10.3389/fdgth.2026.1800132