Random Forest Classification to Predict Response to High-Definition Transcranial Direct Current Stimulation for Tinnitus Relief: A Preliminary Feasibility Study
Conclusions:
The proposed random forest classifier predicted treatment response with a high accuracy, significantly outperforming a more traditional statistical approach. Machine learning methods to predict treatment response might ultimately be used in a clinical setting to guide targeted treatment recommendations for individual tinnitus patients.
Source: Ear and Hearing - Category: Audiology Tags: Research Article Source Type: research
More News: Anxiety | Audiology | Audiometry | Brain | Depression | Learning | Neurology | Statistics | Study | Tinnitus | Universities & Medical Training