Project Details
Description
A machine-learning approach to developing diagnostic tools for tinnitus
Using state-of-the-art machine-learning approaches, we will develop a diagnostic tool for distinguishing those who report a perception of tinnitus from those who do not, based on a widely available clinical measure of hearing function, the auditory brainstem response (ABR) to simple sounds (acoustic clicks).
Using state-of-the-art machine-learning approaches, we will develop a diagnostic tool for distinguishing those who report a perception of tinnitus from those who do not, based on a widely available clinical measure of hearing function, the auditory brainstem response (ABR) to simple sounds (acoustic clicks).
| Short title | machine-learning and tinnitus |
|---|---|
| Status | Finished |
| Effective start/end date | 1/01/21 → 1/12/23 |