A hybrid approach to Parkinson disease classification using speech signal: the combination of smote and random forests

K Polat - 2019 scientific meeting on electrical-electronics & …, 2019 - ieeexplore.ieee.org
In this study, a novel method is proposed for the detection of Parkinson's disease with the
features obtained from the speech signals. Detection and early diagnosis of Parkinson's …

Improving Parkinson's disease diagnosis with machine learning methods

E Celik, SI Omurca - 2019 Scientific Meeting on Electrical …, 2019 - ieeexplore.ieee.org
Parkinson's disease is a type of disease caused by the loss of dopamine-producing cells in
the brain. As the amount of dopamine decreases, the symptoms of Parkinson's disease …

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 …

A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data

S Aich, K Younga, KL Hui, AA Al-Absi… - 2018 20th international …, 2018 - ieeexplore.ieee.org
In the past few years, lot of researchers are working to get some breakthrough for early
detection of Parkinson's disease. As the old age population is increasing at a higher rate as …

A hybrid approach for Parkinson's disease diagnosis with resonance and time-frequency based features from speech signals

J Goyal, P Khandnor, TC Aseri - Expert Systems with Applications, 2021 - Elsevier
Parkinson's Disease (PD) is a progressive neurological disorder that affects the functioning
of the brain. As PD progresses, there arises a problem of maintaining coordination between …

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 …

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 …

[HTML][HTML] 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 …

Parkinson's disease identification using KNN and ANN Algorithms based on Voice Disorder

O Asmae, R Abdelhadi, C Bouchaib… - … Research in Applied …, 2020 - ieeexplore.ieee.org
In recent years, speech signal processing has benefited from a lot of attention, because of its
widespread application. In this study, we have led a comparative analysis for efficient …

Parkinson disease classification using one against all based data sampling with the acoustic features from the speech signals

K Polat, M Nour - Medical hypotheses, 2020 - Elsevier
Parkinson's disease (PD) is a long-term degenerative disease that primarily affects the motor
system of the central nervous system. This disease is difficult to diagnose and is one of the …