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 …
Machine learning approaches to identify Parkinson's disease using voice signal features
R Alshammri, G Alharbi, E Alharbi… - Frontiers in artificial …, 2023 - frontiersin.org
Parkinson's Disease (PD) is the second most common age-related neurological disorder
that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its …
that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its …
[PDF][PDF] A novel approach for Parkinson's disease detection based on voice classification and features selection techniques
Parkinson's disease (PD) is one of the most widespread diseases that, primarily, affects the
motor system of the neural central system. In fact, PD is characterized by tremors, stiffness of …
motor system of the neural central system. In fact, PD is characterized by tremors, stiffness of …
A machine learning system for the diagnosis of Parkinson's disease from speech signals and its application to multiple speech signal types
İ Cantürk, F Karabiber - Arabian Journal for Science and Engineering, 2016 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder that negatively affects millions of
people. PD is usually diagnosed by a series of empirical tests and sometimes by invasive …
people. PD is usually diagnosed by a series of empirical tests and sometimes by invasive …
[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 …
Classification of Parkinson disease based on patient's voice signal using machine learning
I Ahmed, S Aljahdali, MS Khan… - … Automation and Soft …, 2022 - zuscholars.zu.ac.ae
Parkinson's disease (PD) is a nervous system disorder first described as a neurological
condition in 1817. It is one of the more prevalent diseases in the elderly, and Alzheimer's is …
condition in 1817. It is one of the more prevalent diseases in the elderly, and Alzheimer's is …
Diagnosis of parkinson's disease based on voice signals using SHAP and hard voting ensemble method
Parkinson's disease (PD) is the second most common progressive neurological condition
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …
Feature selection based machine learning to improve prediction of Parkinson disease
Parkinson's disease (PD) is a kind of neurodegenerative disorder characterized by the loss
of dopamine-producing cells in the brain. The disruption of brain cells that create dopamine …
of dopamine-producing cells in the brain. The disruption of brain cells that create dopamine …
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 …
A comparative study of existing machine learning approaches for Parkinson's disease detection
G Pahuja, TN Nagabhushan - IETE Journal of Research, 2021 - Taylor & Francis
Parkinson's disease (PD) has affected millions of people worldwide and is more prevalent in
people, over the age of 50. Even today, with many technologies and advancements, early …
people, over the age of 50. Even today, with many technologies and advancements, early …