A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset

A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset

Context: The progressive neurodegenerative disorder Parkinson’s disease (PD) features diverse symptom presentation that progresses at different speeds and demands effective disease classification with precise patient management. The traditional methods demonstrate insufficient ability to detect the...

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Bibliographic Details
Main Authors: Vinay Kukreja, Vandana Ahuja, Modafar Ati, Hariharan Shanmugasundaram, Murugaperumal Krishnamoorthy, Rishabh Sharma, Abhishek Bhattacherjee
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Parkinson’s disease progression
Spatio-temporal fusion and prediction-based model
Multi-modal data integration
Graph neural network
Temporal convolutional network
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025013878
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