Parkinson disease (PD) is a universal public health problem of massive measurement.
Machine learning based method is used to classify between healthy people and people with …

An accurate diagnosis of Parkinson's disease by specialists involves many neurological,
psychological and physical examinations. The specialists investigate a number of symptoms …

Parkinson's disease (PD) is one of the most common and serious neurological diseases.
Impairments in voice have been reported to be the early biomarkers of the disease. Hence …

Parkinson's disease (PD) diagnostics includes numerous analyses related to the
neurological, physical, and psychical status of the patient. Medical teams analyze multiple …

Background The use of speech based data in the classification of Parkinson disease (PD)
has been shown to provide an effect, non-invasive mode of classification in recent years …

Günümüzde bilişim teknolojileri hemen hemen her alanda kullanılmaktadır. En çok
kullanılan alanlardan bir tanesi de sağlık sektörüdür. Dijital hastane sistemlerinin …

Background: The use of speech based data in the classification of Parkinson disease (PD)
has shown to provide an effect, non-invasive mode of classification in recent years. Thus …

Background: Length of stay is one of the most important indicators in assessing hospital
performance. A shorter stay can reduce the costs per discharge and shift care from inpatient …

Hierarchical nanostructures of anatase TiO 2 with high active surface area has great
significance in various applications. Here we have synthesized, highly photoactive hollow …

This paper proposes the integration between stacked generalization and complementary
neural networks to diagnose Parkinson's disease. The Parkinson speech dataset acquired …