The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database
Abstract Background A multidimensional voice quality assessment is recommended for all patients with dysphonia, which requires a patient visit to the otolaryngology clinic. The aim of this study was to determine the accuracy of an online artificial intelligence classifier, the Online Sequential Extr...
Saved in:
Main Authors: | Nur Ain Nabila Za’im, Fahad Taha AL-Dhief, Mawaddah Azman, Majid Razaq Mohamed Alsemawi, Nurul Mu′azzah Abdul Latiff, Marina Mat Baki |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2023-09-01
|
Series: | Journal of Otolaryngology - Head and Neck Surgery |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40463-023-00661-6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Voice pathology detection using machine learning algorithms based on different voice databases
by: Nurul Mu'azzah Abdul Latiff, et al.
Published: (2025-03-01) -
The effect of vibration therapy on the phonatory function of the larynx and thyroid function in female voice professionals
by: Joanna Golec, et al.
Published: (2024-06-01) -
Retrospective review of dosing trends in botulinum toxin injections for the treatment of adductor spasmodic dysphonia in a long-term cohort
by: Gabrielle French, et al.
Published: (2020-01-01) -
VOCAL HANDICAP AND ASSOCIATION WITH PHYSICAL INACTIVITY AND JOB DISSATISFACTION AMONG TEACHERS
by: Lilian Souza Melo, et al.
Published: (2023-09-01) -
A Reproducible Analysis of Sequential Recommender Systems
by: Filippo Betello, et al.
Published: (2025-01-01)