Multi-level graph neural network with sparsity pooling for recognizing Parkinson’s disease

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Combined graph convolutional networks with a multi-connection pattern to identify tremor-dominant Parkinson's disease and Essential tremor with resting tremor

X Zhao, P **ao, H Gui, B Xu, H Wang, L Tao, H Chen… - Neuroscience, 2024 - Elsevier
Essential tremor with resting tremor (rET) and tremor-dominant Parkinson's disease (tPD)
share many similar clinical symptoms, leading to frequent misdiagnoses. Functional …
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IMNMAGN: Integrative Multimodal Approach for Enhanced Detection of Neurodegenerative Diseases Using fusion of Multidomain Analysis with Graph Networks

RV Anand, TS Priyan, MG Brahmam, B Balusamy… - IEEE …, 2024 - ieeexplore.ieee.org
The burgeoning field of neurodegenerative disease detection and management
necessitates the development of robust and comprehensive diagnostic approaches. Existing …
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Parkinson's Disease Detection Using Q-LSTM

PG Arepalli, K Maneesha, M Srija… - … Conference on IoT …, 2024 - ieeexplore.ieee.org
A novel technique in early Parkinson's disease diagnosis with the use of a quantum long
short-term memory model is described in this paper. Quantum computing, therefore, coupled …
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Context-Aware Graph Neural Networks for Early Diagnosis of Neurodegenerative Diseases

M Abdelmegeed - 2024 - search.proquest.com
Current graph neural network (GNN) models for analyzing functional brain networks focus
primarily on similarities between fMRI signals of anatomically distinct brain regions, often …
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Detection of Parkinson disease using machine learning techniques

FM Siddiqui, P Singh, S Singh - Recent Advances in Sciences … - taylorfrancis.com
The affect of Parkinson's disease is seen in hundreds and thousands of people globally. The
disease is prevalent in people aged 50 or above. There have been multiple technological …
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