Parkinson's disease (PD) has affected millions of people worldwide and is more prevalent in
people, over the age of 50. Even today, with many technologies and advancements, early …

Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

This article presents a machine learning methodology for diagnosing Parkinson's disease
(PD) based on the use of vertical Ground Reaction Forces (vGRFs) data collected from the …

Background: Parkinson's disease is the second most frequent neurodegenerative disorder.
Its diagnosis is challenging and mainly relies on clinical aspects. At present, no biomarker is …

Parkinson's Disease (PD) is considered a malison for mankind for several decades. Its
detection with the help of an automated system is a subject undergoing intense study. This …

Background The use of multi-modal features for improving the diagnosing accuracy of
Parkinson's disease (PD) is still under consideration. Method Early diagnosis of PD is very …

It makes no difference whether a person is male or female when it comes to
neurodegenerative disorders; both sexes are equally susceptible to their devastating effects …

In order for Parkinson's disease (PD) treatment and examination to be logical, a key
requirement is that estimates of disease stage and severity are quantitative, reliable, and …

Parkinson's Disease (PD) is a degenerative and progressive neurological disorder worsens
over time. This disease initially affects people over 55 years old. Patients with PD often …

Detection of Parkinson's disease (PD) from the symptom of motor oriented and non-motor
oriented anomalies is a very crucial task. One of the reasons behind this disease is the …