Unimodal vs. Multimodal Data in Early-Onset Parkinson’s Disease: A Comparative Machine Learning Study
Early-onset Parkinson’s disease presents subtle and overlapping motor and non-motor symptoms, making early diagnosis challenging. This study compares unimodal and multimodal machine learning frameworks for EOPD detection using the UCI Parkinson’s voice dataset. Four supervised algorithms Random Forest, Support Vector...