Two-Stage Feature Selection of Voice Parameters for Early Alzheimer's Disease Prediction

ConclusionThe proposed method improved the classification accuracy for ES-AD, MCI and HC groups and promises the effectiveness of speech analysis and machine learning techniques to help detect pathological diseases.Graphical abstract
Source: IRBM - Category: Biomedical Engineering Source Type: research