Parkinson's disease (PD) is a neurodegenerative disorder affecting people worldwide. The
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …

Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …

The severity evaluation of Parkinson's disease (PD) is of great significance for the treatment
of PD. However, existing methods either have limitations based on prior knowledge or are …

This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

Background and aim Neurodegenerative disorders (eg, Alzheimer's, Parkinson's) lead to
neuronal loss; neurocognitive disorders (eg, delirium, dementia) show cognitive decline …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by both motor
symptoms and non-motor features. A hallmark of PD is the misfolding and accumulation of …

A multi-strategy improved sand cat swarm algorithm with PTCN-BIGRU is proposed to solve
the problem of predicting the risk level of gas-containing coal fracture. Combined with kernel …

In recent years, Artificial Intelligence (AI) methods, specifically Machine Learning (ML)
models, have been providing outstanding results in different areas of knowledge, with the …

The complex nature of disease mechanisms and the variability of patient symptoms present
significant obstacles in developing effective diagnostic tools. Although machine learning has …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the loss of
dopamine-producing neurons in the brain, which leads to impaired movement, cognitive …