Parkinson's Disease Diagnosis Using Deep Learning: A Bibliometric Analysis and Literature Review
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
Enhancing Parkinson's Disease Detection and Diagnosis: A Survey of Integrative Approaches Across Diverse Modalities
Parkinson's disease (PD) is a chronic neurodegenerative illness that affects the brain and
central nervous system, leading to issues with pain, mobility, mood, and sleep. Early and …
central nervous system, leading to issues with pain, mobility, mood, and sleep. Early and …
Hybrid bat and salp swarm algorithm for feature selection and classification of crisis-related tweets in Social Networks
Twitter is a useful tool for effectively tracking and managing crisis-related incidents.
However, due to many irrelevant features in textual data, the problem of high dimensionality …
However, due to many irrelevant features in textual data, the problem of high dimensionality …
[HTML][HTML] Critical analysis of Parkinson's disease detection using EEG sub-bands and gated recurrent unit
N Khalid, MS Ehsan - … Science and Technology, an International Journal, 2024 - Elsevier
Parkinson's disease, the second most common neurodegenerative disorder in the world. A
progressive disease, which can worsen over time and lead to complications like mild …
progressive disease, which can worsen over time and lead to complications like mild …
Significance of gender, brain region and EEG band complexity analysis for Parkinson's disease classification using recurrence plots and machine learning algorithms
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons
generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an …
generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an …
Optimizing Parkinson's Disease Detection: Hybrid S-transform-EEG Feature Reduction Through Trajectory Analysis
With Parkinson's disease (PD) becoming more common, there is an increasing demand for
accurate technology-driven PD detection. This research attempts to address this …
accurate technology-driven PD detection. This research attempts to address this …
Cloud computing-based framework for heart disease classification using quantum machine learning approach
HG Enad, MA Mohammed - Journal of Intelligent Systems, 2024 - degruyter.com
Accurate early identification and treatment of cardiovascular diseases can prevent heart
failure problems and reduce mortality rates. This study aims to use quantum learning to …
failure problems and reduce mortality rates. This study aims to use quantum learning to …
Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI
Abstract Parkinson's disease (PD), a complex and debilitating neurological disorder, often
leads to progressive cognitive decline, including mild cognitive impairment (MCI) and …
leads to progressive cognitive decline, including mild cognitive impairment (MCI) and …
Creation of an iterative process for blockchain networks protecting privacy combining secure routing based on homomorphic encryption with dynamic routing in deep …
Technology is changing rapidly every day. The current blockchain routing protocols
frequently fail to adequately handle all privacy concerns and provide less-than-ideal …
frequently fail to adequately handle all privacy concerns and provide less-than-ideal …
Machine Learning based Early Detection and Monitoring of Parkinson Disease
An extended period of time is necessary to develop Parkinson's disease, a
neurodegenerative disorder. The PD can also be identified using human motion analysts …
neurodegenerative disorder. The PD can also be identified using human motion analysts …