Machine Learning for Vestibular Schwannoma Diagnosis Using Audiometrie Data Alone

Conclusions: Machine learning algorithms perform similarly to rule-based evaluations in identifying patients with vestibular schwannomas based on audiometric data alone. Performance of established rule-based formulas was consistent with earlier performance metrics, when analyzed using a large dataset.
Source: Otology and Neurotology - Category: ENT & OMF Tags: AUDIOLOGY Source Type: research