Classification of neurodegenerative disorders based on major risk factors employing machine learning techniques

Sandhya Joshi, . and Deepa Shenoy, P. and Venugopal, K.R. and Patnaik, L.M. (2010) Classification of neurodegenerative disorders based on major risk factors employing machine learning techniques. International Journal of Engineering and Technology, 02 (04). pp. 350-356.

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Official URL: DOI:10.7763/IJET.2010.V2.146

Abstract

Medical data mining has great potential forexploring the hidden patterns in the data sets of the medicaldomain. These patterns can be utilized for the classification ofvarious diseases. Data mining technology provides auser-oriented approach to novel and hidden patterns in the data. The present study consisted of records of 746 patients collectedfrom ADRC, ISTAART, USA. Around eight hundred andninety patients were recruited to ADRC and diagnosed forAlzheimer's disease (65%), vascular dementia (38%) andParkinson's disease (40%), according to the established criteria. In our study we concentrated particularly on the major riskfactors which are responsible for Alzheimer's disease, vasculardementia and Parkinson's disease. This paper proposes a newmodel for the classification of Alzheimer's disease, vasculardisease and Parkinson's disease by considering the mostinfluencing risk factors. The main focus …

Item Type: Article
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 15 Sep 2021 05:24
Last Modified: 15 Sep 2021 05:24
URI: http://eprints-bangaloreuniversity.in/id/eprint/9500

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