A Feature Driven Intelligent System for Neurodegenerative Disorder Detection: An Application on Speech Dataset for Diagnosis of Parkinson's Disease
İ Cantürk - International Journal on Artificial Intelligence Tools, 2021 - World Scientific
Parkinson's disease (PD) is a prevalent, and progressive neurological disorder. Due to the
motor and non-motor symptoms of the disease, it lowers life quality of the patients. Tremor …
motor and non-motor symptoms of the disease, it lowers life quality of the patients. Tremor …
Classification of Parkinson's disease using speech signal with machine learning and deep learning approaches
Parkinson's disease (PD) is a chronic neurological condition that is growing in prevalence
and manifests both motor and non-motor symptoms. Most PD patients have trouble …
and manifests both motor and non-motor symptoms. Most PD patients have trouble …
Analysis of Parkinson's disease diagnosis using a combination of Genetic Algorithm and Recursive Feature Elimination
J Goyal, P Khandnor, TC Aseri - 2020 Fourth World Conference …, 2020 - ieeexplore.ieee.org
Parkinson's disease is a neurological disorder which affects different body parts. Voice
distortion is one of the early symptoms to appear. It is present in most of the Parkinson …
distortion is one of the early symptoms to appear. It is present in most of the Parkinson …
Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
Different Machine Learning Algorithms for Parkinson's Disease Detection Using Speech Signals
CS Raje, PH Kulkarni, R Deshmukh - International Conference on …, 2023 - Springer
A neurodegenerative disorder affecting the brain's neurological, physiological, and
behavioral systems is called Parkinson's disease (PD). In the early stages of the condition …
behavioral systems is called Parkinson's disease (PD). In the early stages of the condition …
Improving Parkinson's disease recognition through voice analysis using deep learning
R Khaskhoussy, YB Ayed - Pattern Recognition Letters, 2023 - Elsevier
Parkinson's disease (PD) corresponds to one of the most common neurological diseases in
the world, which is mainly manifested by motor, cognitive, and language disorders. The …
the world, which is mainly manifested by motor, cognitive, and language disorders. The …
Parkinson's Disease Diagnosis Using Voice Features and Effective Machine Learning Methods
A neurodegenerative condition that largely affects the central nervous system is Parkinson's
disease, and subtle changes in the early stages of this disease make accurate diagnosis …
disease, and subtle changes in the early stages of this disease make accurate diagnosis …
An efficient machine learning approach for diagnosing parkinson's disease by utilizing voice features
Parkinson's disease (PD) is a neurodegenerative disease that impacts the neural,
physiological, and behavioral systems of the brain, in which mild variations in the initial …
physiological, and behavioral systems of the brain, in which mild variations in the initial …
[HTML][HTML] Speech analysis for diagnosis of Parkinson's disease using genetic algorithm and support vector machine
M Shahbakhi, DT Far, E Tahami - Journal of biomedical science and …, 2014 - scirp.org
Parkinson's disease (PD) is the most common disease of motor system degeneration that
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …
[PDF][PDF] Machine Learning Based Idiopathic Parkinson's Disease Detection Using Speech Data.
M Raheem - Webology, 2022 - researchgate.net
Abstract The World Health Organization (WHO) has identified neurodegenerative disorders
as one of the critical threats to public health. Currently, it is estimated that 16 out of 60 …
as one of the critical threats to public health. Currently, it is estimated that 16 out of 60 …