UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRC006427


Registration ID:
184427

Page Number

631-633

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Title

A Novel Method for Data Mining Techniques in Alzheimer’s disease

Abstract

Finding a cure for Alzheimer’s disease has been facing challenges due to the lack of reliable biomarkers for detection of risk. Fluid based biomarkers provide some criteria for identification of the disease’s current stage in patients. But these markers are not reliable predictors for disease progression or response to treatment also most of these markers are tested in cerebrospinal fluid which reduces the applicability of the method, significantly. The main purpose of this paper is to describe research surveys in effect of blood-based biomarkers and diagnostic imaging in AD, using data mining techniques.

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"A Novel Method for Data Mining Techniques in Alzheimer’s disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.631-633, August-2018, Available :http://www.jetir.org/papers/JETIRC006427.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Novel Method for Data Mining Techniques in Alzheimer’s disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp631-633, August-2018, Available at : http://www.jetir.org/papers/JETIRC006427.pdf

Publication Details

Published Paper ID: JETIRC006427
Registration ID: 184427
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 631-633
Country: Vellore, TamilNadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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