Early diagnosis of Parkinson's disease based on non-motor symptoms: a descriptive and factor analysis

H Kuresan, D Samiappan, S Ghosh… - Journal of Ambient …, 2021 - Springer
Parkinson's disease (PD) occurs due to lack of dopamine-producing (" dopaminergic")
neurons predominately in the particular region of substantia nigra (SN) in the brain, with …

Automatic detection of Parkinson's disease from speech using acoustic, prosodic and phonetic features

R Khaskhoussy, YB Ayed - … Conference on Intelligent Systems Design and …, 2021 - Springer
Parkinson's disease (PD) is a neurodegenerative disease ranked second after Alzheimer's
disease. It affects the central nervous system and causes a progressive and irreversible loss …

Biomarkers for detection of Parkinson's disease using machine learning—A short review

M Pramanik, R Pradhan, P Nandy - Soft Computing Techniques and …, 2021 - Springer
Detection of Parkinson's disease (PD) from the symptom of motor oriented and non-motor
oriented anomalies is a very crucial task. One of the reasons behind this disease is the …

Classification of Parkinson's disease using speech attributes with parametric and nonparametric machine learning techniques

S Sharanyaa, PN Renjith… - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Parkinson's disease is a neurological disorder that affects the central nervous system which
results in improper functioning of body movements including difficulty in speaking, walking …

Classification of Parkinson's disease using speech signal with machine learning and deep learning approaches

S Rahman, M Hasan, AK Sarkar, F Khan - European Journal of Electrical …, 2023 - ejece.org
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 …

Parkinson's disease classification from speech signal parameters using deep neural network

P Deepa, R Khilar - 2022 IEEE 4th International Conference on …, 2022 - ieeexplore.ieee.org
A variety of motor and cognitive symptoms are present in people with Parkinson's disease
(PD), a chronic degenerative condition. Since PD symptoms are quite similar to those of …

Machine learning approaches for detection and diagnosis of Parkinson's disease-a review

I Nissar, WA Mir, TA Shaikh - 2021 7th International …, 2021 - ieeexplore.ieee.org
Parkinson's disease (PD) is disabling disease that affects the quality of life. It belimps due to
the death of cells that produce dopamine's in the substantia nigra part of the central nervous …

Analysis of Ensemble of Machine Learning Algorithms for Detection of Parkinson's Disease

G Tallapureddy, D Radha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Parkinson's Disorder (PD) is a neurodegenerative motion disorder. This disorder can be
identified by the signs and symptoms which may increase with a small tremor in right or left …

An efficient machine learning approach for diagnosing parkinson's disease by utilizing voice features

A Rana, A Dumka, R Singh, M Rashid, N Ahmad… - Electronics, 2022 - mdpi.com
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 …

[PDF][PDF] Performance Study of ML Models and Neural Networks for Detection of Parkinson Disease using Dysarthria Symptoms

H Kuresan, D Samiappan, A Jeevan, S Gupta - Eur. J. Mol. Clin. Med, 2021 - academia.edu
Parkinson Disease (PD) is brain disorder that affects the central nervous system that results
in damage of nerve cells causing dopamine to drop. PD has a severe effect on vocal …