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: Early diagnosis is pivotal for the effective management of Parkinson's Disease
(PD). Voice analysis emerges as a promising non-invasive method for early detection of PD …

Abstract INTRODUCTION: Parkinson's Disease (PD), a progressively debilitating
neurological disorder impacting a substantial global population, stands as a significant …

Parkinson's Disease (PD) is a prevalent neurological condition characterized by motor and
cognitive impairments, typically manifesting around the age of 50 and presenting symptoms …

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 …

The advancements in deep learning and their applications in the field of health diagnosis
have been very encouraging, therefore providing a better way for healthcare and also in the …

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 …

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 …

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