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

Abstract Machine learning approaches have been used for the automatic detection of
Parkinson's disease with voice recordings being the most used data type due to the simple …

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 …

The computerized detection of Parkinson's disease (PD) will facilitate population screening
and frequent monitoring and provide a more objective measure of symptoms, benefiting both …

Voice technology has grown tremendously in recent years and using voice as a biomarker
has also been gaining evidence. We demonstrate the potential of voice in serving as a deep …

Parkinson's disease (PD) is a prevalent neurodegenerative disorder known for its impact on
motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study …

This paper aims to employ Machine Learning (ML) classifying algorithms to predict whether
the patient has Parkinson's Disease (PD) or not. Motor disorders mainly characterize PD …

Parkinson's disease (PD) is a complex condition that affects an individual's motor features
and intensifies over time. Symptoms vary between individuals and can go undetected at an …

Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …

Numerous studies have reported on the high accuracy of using voice tasks for the remote
detection and monitoring of Parkinson's Disease (PD). Most of these studies, however …