Identification of a small set of plasma signalling proteins using neural network for prediction of Alzheimer’s disease
Author(s) -
Swapna Agarwal,
Pradip Ghanty,
Nikhil R. Pal
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv173
Subject(s) - dementia , feature selection , alzheimer's disease , blood proteins , disease , population , computational biology , computer science , artificial intelligence , biology , bioinformatics , medicine , pathology , biochemistry , environmental health
Alzheimer's disease (AD) is a dementia that gets worse with time resulting in loss of memory and cognitive functions. The life expectancy of AD patients following diagnosis is ∼7 years. In 2006, researchers estimated that 0.40% of the world population (range 0.17-0.89%) was afflicted by AD, and that the prevalence rate would be tripled by 2050. Usually, examination of brain tissues is required for definite diagnosis of AD. So, it is crucial to diagnose AD at an early stage via some alternative methods. As the brain controls many functions via releasing signalling proteins through blood, we analyse blood plasma proteins for diagnosis of AD.
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