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 …

A Genetic Approach Wrapped Support Vector Machine for Feature Selection Applied to Parkinson's Disease Diagnosi

B Ayoub, T Nora - International Journal of Informatics and Applied …, 2020 - dergipark.org.tr
Parkinson's disease (PD) is found to be a challenging issue which can offer a computerized
estimate about classification of PD to patient people and healthy for normal people. Due to …

A supervised machine learning approach using different feature selection techniques on voice datasets for prediction of Parkinson's disease

S Aich, HC Kim, KL Hui, AA Al-Absi… - 2019 21st International …, 2019 - ieeexplore.ieee.org
Among the neurological diseases, parkinson's disease is the second most common disease,
which affect the old age people over the age of 65 year. It is also mentioned that the number …

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 …

[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 …

An intelligent system for Parkinson's diagnosis using hybrid feature selection approach

R Lamba, T Gulati, A Jain - International Journal of Software …, 2022 - igi-global.com
Parkinson's is the second most common neurodegenerative disorder after Alzheimer's
disease which adversely affects the nervous system of the patients. During the nascent …

Gradient Boosted Tree Based Feature Selection and Parkinson's Disease Classification

A Wijaya, W Prastuti - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
Parkinson's Disease (PD) is one of the most common neurodegenerative disorder with
increasing prevalence in the world. Many studies have been conducted to detect or …

Genetic algorithm based feature selection on diagnosis of Parkinson disease via vocal analysis

A Gümüşçü, K Karadağ, ME Tenekecı… - 2017 25th Signal …, 2017 - ieeexplore.ieee.org
Parkinson's disease is a neurological disorder that affects the quality of life of a patient
adversely, especially in elder people. Parkinson's disease first manifests itself as slowness …

Prediction of Parkinson's disease using hybrid feature selection based techniques

AK Dash - 2021 4th International Conference on Computing …, 2021 - ieeexplore.ieee.org
Parkinson's disease (PD) is one of the significant severe problems globally in recent times. It
is a neurological disorder that progresses over time and the most severe problems after …

[HTML][HTML] 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 …