Author(s):
A. Pio Sajin, S. Devagladis, G. Hansie Shylu, Baron Sam B
Email(s):
piosajin19@gmail.com1 , gladis96.sekar@gmail.com2 , hansieshylu@gmail.com3 , baronsam1988@gmail.com4
DOI:
10.5958/0974-360X.2017.00160.3 
Address:
A. Pio Sajin1, S. Devagladis2, G. Hansie Shylu2, Baron Sam B1
1Assistant Professor, Sathyabama University, Chennai.
2Student, Sathyabama University, Chennai.
*Corresponding Author
Published In:
Volume - 10,
Issue - 3,
Year - 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.
Cite this article:
A. Pio Sajin, S. Devagladis, G. Hansie Shylu, Baron Sam B. An Expert System to Deduce Knowledge on Cause for variant Diseases Using Mining Techniques. Research J. Pharm. and Tech. 2017; 10(3): 857-860. doi: 10.5958/0974-360X.2017.00160.3
Cite(Electronic):
A. Pio Sajin, S. Devagladis, G. Hansie Shylu, Baron Sam B. An Expert System to Deduce Knowledge on Cause for variant Diseases Using Mining Techniques. Research J. Pharm. and Tech. 2017; 10(3): 857-860. doi: 10.5958/0974-360X.2017.00160.3 Available on: https://rjptonline.org/AbstractView.aspx?PID=2017-10-3-38