Parkinson's disease (PD) is a chronic and progressive long-term degenerative disorder of
the central nervous system. The symptoms usually develop slowly, starting with symptoms in …

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 …

Abstract Background and Objective: Parkinson's disease is the second-most-common
neurodegenerative disorder that affects motor skills, cognitive processes, mood, and …

Materials and Methods We utilized a dataset of 195 voice samples with 23 attributes,
applying machine learning algorithms such as Linear Discriminant Analysis (LDA), Support …

Bradykinesia, tremors, rigidity, and postural instability are symptoms of a degenerative
neurological condition called Parkinson's disease (PD) affecting the motor movements …

Parkinson's Disease (PD) is a condition observed with neural loss, primarily distinguished
by its impact on motor function. In our research, the usage of voice datasets of PD patients …

This work aims to develop a Machine Learning-based system to classify patients with
Parkinson's disease. The existing systems have limitations, including limited generalizability …

Objective This study evaluates the efficacy of voice analysis combined with machine
learning (ML) techniques in enabling the diagnosis of Parkinson's disease (PD). Methods …

The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

Neurodegenerative, progressive diseases having multiple motor and non-motor
characteristics are mainly associated with Parkinson's disease (PD). A person suffering from …