Domain-Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach

Keyphrases

• Clinical Data 9%
• Clinical Manifestations 18%
• Clinical Progression 100%
• Cognitive Function 9%
• Cognitive Score 9%
• Control Condition 9%
• Cortical Pathology 9%
• Cortical Regions 9%
• Disease Burden 18%
• Disease Progression 18%
• Explanatory Power 18%
• Extremity Function 9%
• General Motors 18%
• High Power 9%
• High-resolution 9%
• Machine Learning 9%
• Magnetic Resonance Imaging Data 9%
• Magnetic Resonance Imaging Study 9%
• Mosaic Approach 100%
• Motor Function 27%
• Motor Progression 9%
• Motor Score 9%
• Neurological Impairment 9%
• Normative Framework 9%
• Parkinson Patients 18%
• Parkinson's Disease 100%
• Parkinson's Progression Markers Initiative 9%
• Patient Care 9%
• Personalized Care 9%
• Population-representative 9%
• Predicting Diseases 9%
• Predictive Power 9%
• Recently Diagnosed 9%
• Support Vector Machine 9%
• Whole Brain 18%

Medicine and Dentistry

• Biological Marker 9%
• Disease Burden 18%
• Disease Exacerbation 18%
• Magnetic Resonance Imaging 18%
• Mosaicism 100%
• Motor Performance 27%
• Parkinson's Disease 100%
• Patient Care 18%

Neuroscience

• Cognitive Function 9%
• Magnetic Resonance Imaging 18%
• Mosaicism 100%
• Parkinson's Disease 100%
• Support Vector Machine 9%