Machine learning for the diagnosis of Parkinson's disease: a review of literature

J Mei, C Desrosiers, J Frasnelli - Frontiers in aging neuroscience, 2021 - frontiersin.org
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

Robust voice feature selection using interval type-2 fuzzy AHP for automated diagnosis of parkinson's disease

H Azadi, MR Akbarzadeh-T… - … /ACM Transactions on …, 2021 - ieeexplore.ieee.org
Goal: Human voice is a promising noninvasive indicator for diagnosing Parkinson's Disease
(PD). It is also unique since it can be collected remotely, increasing accessibility to a wide …

Parkinson's Disease Detection Using Voice and Speech—Systematic Literature Review

R Khatwad, S Tiwari, Y Tripathi… - … for Medical Data …, 2024 - Wiley Online Library
Parkinson's disease (PD) is normally diagnosed in a person after a thorough physical
examination by a doctor that considers the patient's medical history, neurological …

Improving Detection of Parkinson's Disease with Acoustic Feature Optimization Using Particle Swarm Optimization and Machine Learning

E Hadjaidji, MC Amara Korba… - … Learning: Science and …, 2025 - iopscience.iop.org
Abstract Parkinson's disease (PD), characterized by motor impairments and tremors, also
presents early-stage vocal abnormalities that hold diagnostic potential. Leveraging voice …

Genetic algorithm and principal components analysis in speech-based parkinson's early diagnosis studies

H Kuresan, D Samiappan - International Journal of Nonlinear …, 2022 - ijnaa.semnan.ac.ir
Parkinson's Disease (PD) is a neurodegenerative disorder that affects predominantly
neurons in the brain. The main purpose of this paper is to define a way in detecting the PD in …

A comparison of soft computing models for Parkinson's disease diagnosis using voice and gait features

RR Janghel, A Shukla, CP Rathore, K Verma… - … Modeling Analysis in …, 2017 - Springer
Parkinson's disease is a widespread disease among elder population worldwide caused by
dopamine loss, which reduces quality of life because of motor and non-motor complications …

Presentation of a new gender dependent feature selection approach for diagnosis of Parkinson disease using speech signal processing

H Azadi, MR Akbarzadeh-T, HR Kobravi… - 2015 International …, 2015 - ieeexplore.ieee.org
Parkinson, is the second most common neurodegenerative disease after Alzheimer and no
absolute cure has yet been found for it; however, the progression rate can be lowered with …

Min-max ensemble feature selection

W Ji, Y Huang, B Qiang, Y Li - Journal of Intelligent & Fuzzy …, 2017 - content.iospress.com
Feature selection is one of the key problems in machine learning and data mining. It
involves identifying a subset of the most useful features that produces compatible results as …

基于多源语音信息融合的帕金森病辅助检测方法.

季薇, 王传瑜, **云, 郑慧芬 - Journal of Signal Processing, 2023 - search.ebscohost.com
在病程早期, 帕金森病患者由于发声器官的灵活协调能力下降, 会出现发音困难,
发音不稳定等症状. 为分析受试者的言语能力, 专家基于上述生理现象设计了包括持续元音 …

Optimal feature selection and comparison for automatic detection of Parkinson's disease using speech signal

H Azadi, MA Khalil Zade… - Iranian Journal of …, 2016 - ijbme.org
In recent years, researchers have tried hardly to diagnose Parkinson's disease through
finding its relation with the patient's speech signal. Also, many studies have been performed …