Alzheimer’s Disease Diagnosis by using Dimensionality Reduction Based on Knn Classifier
M. Balamurugan, A. Nancy and S. Vijaykumar

Department of Computer Science, Bharathidasan University, Tamilnadu.

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Abstract: Data mining is fast developing technology in extensive sort of applications. One of the essential data mining areas is medical data mining. Healthcare industry is a kind of industry, where huge amount of information’s and are more sensitive. That information is required to be handle very carefully without any mischievousness. There is a wealth of data presented in healthcare but there is no effective analysis tool to discover hidden relationships in data. There are numerous data mining methods that have been utilized as a part of healthcare industry but now the investigation has to be going on the performance of several classification techniques. In this paper, they proposed the Novel dimensionality reduction based KNN Classification Algorithm for analyzing and classifying the Alzheimer disease and Mild Cognitive Impairment are present in the datasets. National Alzheimer’s Coordinating Centre (NACC) having the Researcher’s Data Dictionary - Uniform Data Set (RDD-UDS) is gives dataset for the researchers to analyzing clinical and statistic information’s. From this research work, that gives more accuracy percentage, sensitivity percentage and specificity percentage to provide a better result.

Keywords: AD- Alzheimer’s Disease; Mild Cognitive Impairment (MCI); National Alzheimer’s Coordinating Centre (NACC); Researcher’s Data Dictionary - Uniform Data Set (RDD-UDS); K Nearest Neighbor(KNN)

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