Background and Objectives: Neurological disorders like stroke, spinal cord injury (SCI), and
Parkinson's disease (PD) significantly affect global health, requiring accurate diagnosis and …

Huntington's Disease (HD) is a devastating neurodegenerative disorder characterized by
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …

Older people experience different Age-Associated Diseases (AAD), and appropriate
diagnosis and treatment will help them to lead a peaceful life. Parkinson's disease (PD) is …

Parkinson's disease (PD) is a widespread neurodegenerative disorder occurs due to the
degradation of dopaminergic neurons present in the substantia nigra pars compacta (SNpc) …

Parkinson's disease (PD) disorder is caused by the imbalance of inhibitory dopamine and
excitatory acetylcholine neurotransmitters, which causes hindrance in locomotion. Freezing …

Introduction In the evolving landscape of healthcare and medicine, the merging of extensive
medical datasets with the powerful capabilities of machine learning (ML) models presents a …

In severe cases, Parkinson's disease causes uncontrolled movements known as motor
symptoms such as dystonia, rigidity, bradykinesia, and tremors. Parkinson's disease also …

Advancements in deep learning speech representations have facilitated the effective use of
extensive unlabeled speech datasets for Parkinson's disease (PD) modeling with minimal …

Parkinson's Disease (PD) is a prevalent neurodegenerative condition, ranking second in
incidence only to Alzheimer's disease. Presently, the diagnosis of PD using sensors and …

This comprehensive review explores the advancements in machine learning algorithms in
the diagnosis of Parkinson's disease (PD) utilizing different biomarkers. It addresses the …