Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA

Computer Science

• Disease Patient 100%
• Parkinson's Disease 100%
• Rating Scale 30%
• Machine Learning 20%
• Support Vector Machine 20%
• Classification Accuracy 20%
• Proposed Indicator 20%
• Experimental Result 10%
• Accuracy 10%
• Aging Population 10%
• Artificial Intelligence 10%
• Diagnosis 10%
• Detection Rate 10%
• Classification Method 10%
• Disease Progression 10%
• Early Detection 10%
• Extreme Gradient Boosting 10%

Neuroscience

• Parkinson's Disease 100%
• Support Vector Machine 22%
• Neurodegenerative Disorder 11%
• Diagnosis of Parkinson's Disease 11%