Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer's disease progression

Keyphrases

• Machine Learning 100%
• Alzheimer's Disease Pathology 100%
• Whole Brain Atrophy 100%
• Longitudinal multi-modal Data 100%
• Alzheimer's Disease 66%
• Alzheimer's Dementia 66%
• Disease-related 66%
• Atrophy 66%
• Neocortical 66%
• Medial Temporal Atrophy 66%
• Clinically Significant 33%
• Disease Trajectory 33%
• Machine Learning Models 33%
• Disease Progression 33%
• Heterogeneous Disease 33%
• Disease Model 33%
• Disease Manifestations 33%
• C-index 33%
• Conversion Time 33%
• Time Conversion 33%
• Non-overlapping 33%
• Disease Progression Pattern 33%
• Progression Pattern 33%
• Conversion to Alzheimer Disease 33%

Computer Science

• Disease Progression 100%
• Machine Learning 100%
• Learning System 100%
• Dementia Disease 66%
• Clinical Setting 33%
• Conversion Time 33%

Neuroscience

• Alzheimer's Disease 100%