Machine learning-based classification of Parkinson's disease patients using speech biomarkers

MA Hossain, F Amenta - Journal of Parkinson's Disease, 2024 - content.iospress.com
Background: Parkinson's disease (PD) is the most prevalent neurodegenerative movement
disorder and a growing health concern in demographically aging societies. The prevalence …

Machine learning for the diagnosis of Parkinson's disease using speech analysis: a systematic review

C Bang, N Bogdanovic, G Deutsch… - International Journal of …, 2023 - Springer
As voice technology continues to advance, clinical analysis of acoustic measures in speech
patterns has the potential for early detection of Parkinson's disease (PD), the second most …

Developing system-based voice features for detecting Parkinson's disease using machine learning algorithms

AH Al‐nefaie, THH Aldhyani… - Journal of Disability …, 2024 - scienceopen.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by a deficit of
dopamine in the brain. This condition has the potential to impact individuals of advanced …

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 …

Feature-driven machine learning to improve early diagnosis of Parkinson's disease

L Parisi, N RaviChandran, ML Manaog - Expert Systems with Applications, 2018 - Elsevier
Although advances in speech processing have facilitated the prognostic assessment of
patients with Parkinson's Disease (PD), there is no objective method towards its early …

Voice Biomarkers for Parkinson's Disease Prediction Using Machine Learning Models with Improved Feature Reduction Techniques

N Chintalapudi, VR Dhulipalla… - Journal of Data …, 2023 - ojs.bonviewpress.com
As a chronic and life-threatening disease, Parkinson's disease (PD) causes people to
become rigid and inactive and have shaky voices. There is an argument that current PD …

A voice analysis approach for recognizing Parkinson's disease patterns

YC Tai, PG Bryan, F Loayza, E Peláez - IFAC-PapersOnLine, 2021 - Elsevier
Many of the patients diagnosed with Parkinson's disease (PD) do not know they have it until
the most severe symptoms appear, sometimes they must wait months or even years to get …

[HTML][HTML] Analysis of smartphone recordings in time, frequency, and cepstral domains to classify Parkinson's disease

I Tougui, A Jilbab, J El Mhamdi - Healthc. Inform. Res, 2020 - synapse.koreamed.org
Objectives Parkinson's disease (PD) is the second most common neurodegenerative
disorder; it affects more than 10 million people worldwide. Detecting PD usually requires a …

An ensemble method for diagnosis of Parkinson's disease based on voice measurements

R Sheibani, E Nikookar, SE Alavi - Journal of Medical Signals & …, 2019 - journals.lww.com
Background: Parkinson's disease (PD) is the most common destructive neurological
disorder after Alzheimer's disease. Unfortunately, there is no specific test such as …

[HTML][HTML] Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering, optimized model selection, and weighted majority voting

FA Torghabeh, SA Hosseini, EA Moghadam - Medicine in Novel …, 2023 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-
motor symptoms that significantly impact an individual's quality of life. Voice changes have …