Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

In order to identify the strategic topics and the thematic evolution structure of data mining
applied to healthcare, in this paper, a bibliometric performance and network analysis …

Although, in principle, gene expression profiling is well suited to isolate pathogenic
molecules associated with Alzheimer's disease (AD), techniques such as microarray present …

Alzheimer's disease (AD) is characterized by accumulation and deposition of Aβ peptides in
the brain. Aβ deposition in cerebrovessels occurs in many AD patients and results in …

Knowledge-based systems (KBS) and intelligent computing systems have been used in the
medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning …

Sexual dimorphisms are typically attributed to the hormonal differences arising once sex
differentiation has occurred. However, in some sexually dimorphic diseases that differ in …

Pharmacological treatment in Alzheimer's disease (AD) accounts for 10–20% of direct costs,
and fewer than 20% of AD patients are moderate responders to conventional drugs …

Background Recent developments have meant that network theory is making an important
contribution to the topological study of biological networks, such as protein-protein …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by loss
of memory and other cognitive functions. AD can be classified into familial AD (FAD) and …

Abstract HIV-Associated Neurocognitive Disorders (HAND) is a common manifestation of
HIV infection that afflicts about 50% of HIV-positive individuals. As people with access to …