Machine learning performance in detecting and diagnosing voice disorders among individuals: A systematic review and meta-analysis
| dc.contributor.advisor | Dr. Farag Shuweihidi | |
| dc.contributor.author | GADA KHALID ALHUSSAIN | |
| dc.date | 2021 | |
| dc.date.accessioned | 2022-05-29T15:05:22Z | |
| dc.date.available | 2022-05-29T15:05:22Z | |
| dc.degree.department | Health Informatics | |
| dc.degree.grantor | Leeds University | |
| dc.description.abstract | The purpose of this review is to examine the empirical performance of ML as, to the best of the author’s knowledge, there has not been a systematic review of the performance of ML. This review will assess the use of ML algorithms in detecting any type of voice disorders | |
| dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/49234 | |
| dc.language.iso | en | |
| dc.title | Machine learning performance in detecting and diagnosing voice disorders among individuals: A systematic review and meta-analysis | |
| sdl.thesis.level | Master | |
| sdl.thesis.source | SACM - United Kingdom |