The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database

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...

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Bibliographic Details
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: BMC 2023-09-01
Series:Journal of Otolaryngology - Head and Neck Surgery
Subjects:
Online Sequential Extreme Learning Machine
Accuracy
Sensitivity
Specificity
Dysphonia
Voice database
Online Access:https://doi.org/10.1186/s40463-023-00661-6

Internet

https://doi.org/10.1186/s40463-023-00661-6

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