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 …

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 …

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 …

Background: Parkinson's disease (PD) is the most prevalent neurodegenerative movement
disorder and a growing health concern in demographically aging societies. The prevalence …

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 …

Parkinson's Disease ranks as the second most common chronic neurodegenerative
condition that affects the CNS by killing the cells containing dopamine and its receptors …

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 …

Parkinson's disease is a progressive neurological disorder which affects motor skills and is
characterized by symptoms such as muscle rigidity, tremors and difficulties in maintaining …

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

Abstract Background Parkinson's Disease (PD) is a clinically diagnosed neurodegenerative
disorder that affects both motor and non-motor neural circuits. Speech deterioration …