Neuroimaging techniques have greatly enhanced the understanding of neurodiversity
(human brain variation across individuals) in both health and disease. The ultimate goal of …

Tracking Parkinson's disease symptom severity by using characteristics automatically
extracted from voice recordings is a very interesting and challenging problem. In this context …

Diagnosis and Tracking of Parkinson's Disease by using Automatically Extracted Acoustic
Features Page 1 Volume 6 Issue 5 • 1000260 J Alzheimers Dis Parkinsonism, an open access …

Clustering is one of the attractive and major tasks in data mining that is used in many
applications. It refers to group together data points, which are similar to one another based …

Due to the sequence in the information technology, the prevalence of the healthcare
organizations conserves their data electronically. Enormous progress in medical data leads …

In medicine, data collection plays an important role in the diagnosis of diseases and
treatment of patients. Physicians have to cope with a large amount of patient-related data …

This study investigates the application of the Black Hole algorithm (BH) for solving 0–1
knapsack problems. Knapsack problem is a classic and famous problem for testing and …

Due to the vast improvement in IT sectors, the popularity health care organization conserve
there data elctoncally. The mining of this well-informed data, in series from the mass data …

The data mining techniques is a more popular in many field of medical, business, railway,
science... etc; they are most commonly used for medical diagnosis and disease prediction …