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 …

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 …

An exploration on feature extraction and classification techniques for dysphonic speech disorder in Parkinson's Disease

S Sharanyaa, PN Renjith, K Ramesh - Inventive Communication and …, 2022 - Springer
Parkinson's disease is a neurodegenerative disorder, and it is a progressive disease that
affects the human lifestyle. The survey described here paves the way to understand how the …

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 …

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 …

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 …

Parkinson's disease Diagnosis using Voice Signals by Machine Learning Approach

DA Vigneswari, J Aravinth - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a chronic neurologic deteriorating condition produced by
mislaying of dopamine-producing cells within the cerebrum. These dopamine-producing …

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 …

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 …

Early detection of Parkinson's disease through speech features and machine learning: a review

AS Gullapalli, VK Mittal - ICT with Intelligent Applications: Proceedings of …, 2022 - Springer
Parkinson's Disease (PD) is a kind of neurodegenerative disorder. The disease causes
communication impairment based on its progression. In general, identification of PD carried …