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Research Journal of Pharmacy and Technology
Year : 2017, Volume : 10, Issue : 3
First page : ( 857) Last page : ( 860)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2017.00160.3

An Expert System to Deduce Knowledge on Cause for variant Diseases Using Mining Techniques

Sajin A. Pio1, Devagladis S.2,**, Shylu G. Hansie2,***, Sam Baron B1,****

1Assistant Professor, Sathyabama University, Chennai

2Student, Sathyabama University, Chennai

*Corresponding Author E-mail: piosajin19@gmail.com

** gladis96.sekar@gmail.coma

*** hansieshylu@gmail.com

**** baronsam1988@gmail.com

Online published on 29 April, 2017.

Abstract

A Disease is an abnormal condition or a disorder of a structure or function in a human that produces specific symptoms or affects their regular human lifestyle. Healthcare Industry which generates large amount of data those are too difficult to be analyzed by traditional method. Hence computer assisted methods are necessary to make correct decision. The main objective of this project is to develop a disease prediction system using data mining techniques like Apriorialgorithm; association mining. It explores a novel analytic method with clustering techniques under distributed system. The result which is obtained from this expert system will help us to be aware of the forthcoming diseases and that will help us to be aware and take preventive steps.

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Keywords

Association rules, Classification techniques, Apriori algorithm.

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