Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

With the continuous attempts to develop effective machine learning methods, information
fusion approaches play an important role in integrating data from multiple sources and …

The progress prediction of Parkinson's disease (PD) is one of the most important issues in
early diagnosis of PD. Many researches have been conducted in this field, however, most …

Epilepsy detection is essential for patients with epilepsy and their families, as well as for
researchers and medical staff. The use of electroencephalogram (EEG) as a tool to support …

Bipolar disorder is a serious psychiatric disorder characterized by periodic episodes of
manic and depressive symptomatology. Due to the high percentage of people suffering from …

Parkinson's disease (PD) is the second most common progressive neurological condition
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …

Parkinson's disease is one of the most prevalent neurodegenerative sicknesses
distinguished by motor function impairment. Parkinson's disease (PD) diagnosis is a …

Background To investigate the risk factors and construct a logistic model and an extreme
gradient boosting (XGBoost) model to compare the predictive performances for readmission …

Voice disorders are one of the incipient symptoms of Parkinson's disease (PD). The existing
PD voice feature analysis methods generally reduce dimensionality by selecting features …