Classification of Alzheimer's disease and Parkinson's disease by using machine learning and neural network methods

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Joshi, S. and Shenoy, D. and Vibhudendra Simha, G.G. and Rrashmi, P.L. and Venugopal, K.R. and Patnaik, L.M. (2010) Classification of Alzheimer's disease and Parkinson's disease by using machine learning and neural network methods. In: Classification of Alzheimer's disease and Parkinson's disease by using machine learning and neural network methods, 9-11 Feb. 2010, Bangalore.

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Official URL: https://doi.org/10.1109/ICMLC.2010.45

Abstract

Data mining is a fast evolving technology, is being adopted in biomedical sciences and research. Data mining in medicine is an emerging field of high importance for providing prognosis and a deeper understanding of the classification of neurodegenerative diseases. Given a data set of consists of 487 patients records collected from ADRC, USA. Around eight hundred and ninety patients were recruited to ADRC and diagnosed for AD (65) and PD (40), according to the established criteria. In our study we concentrated particularly on the major risk factors which are responsible for Alzheimer's disease and Parkinson's disease. This paper proposes a new model for the classification of Alzheimer's disease and Parkinson's disease by considering the most influencing risk factors. The main focus was on the selection of most influencing risk factors for both AD and PD using various attribute evaluation scheme with ranker search method. Different models for the classification of AD and PD using various classification techniques such as Neural Networks (NN) and Machine Learning (ML) methods were also developed. It was found that some specific genetic factors, diabetes, age and smoking were the strongest risk factors for Alzheimer's disease. Similarly, for the classification of Parkinson's disease, the risk factors such as stroke, diabetes, genes and age were the vital factors. © 2010 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: cited By 2; Conference of 2010 The 2nd International Conference on Machine Learning and Computing, ICMLC 2010 ; Conference Date: 9 February 2010 Through 11 February 2010; Conference Code:80504
Uncontrolled Keywords: Alzheimer's disease; Attribute evaluation scheme; Biomedical science; Classification technique; Data sets; Genetic factors; Machine-learning; Neural network method; Neurodegenerative disease; New model; Parkinson's disease; Risk factors; Search method, Data mining; Disturbance rejection; Learning systems, Neural networks
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: Mr. Kirana Kumar D
Date Deposited: 26 Mar 2016 07:41
Last Modified: 26 Mar 2016 07:41
URI: http://eprints-bangaloreuniversity.in/id/eprint/2203

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