Machine learning for the diagnosis of Parkinson's disease: a review of literature
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 …
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
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 …
(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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
finding its relation with the patient's speech signal. Also, many studies have been performed …