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An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups

Published on February 2013 by A. S. Aneeshkumar, C. Jothi Venkateswaran
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International Conference on Communication, Computing and Information Technology
Foundation of Computer Science USA
ICCCMIT - Number 2
February 2013
Authors: A. S. Aneeshkumar, C. Jothi Venkateswaran
014e42e4-0fb5-4143-aad3-aee2ccc64063

A. S. Aneeshkumar, C. Jothi Venkateswaran . An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups. International Conference on Communication, Computing and Information Technology. ICCCMIT, 2 (February 2013), 19-22.

@article{
author = { A. S. Aneeshkumar, C. Jothi Venkateswaran },
title = { An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups },
journal = { International Conference on Communication, Computing and Information Technology },
issue_date = { February 2013 },
volume = { ICCCMIT },
number = { 2 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 19-22 },
numpages = 4,
url = { /specialissues/icccmit/number2/10332-1017/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Communication, Computing and Information Technology
%A A. S. Aneeshkumar
%A C. Jothi Venkateswaran
%T An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups
%J International Conference on Communication, Computing and Information Technology
%@ 0975-8887
%V ICCCMIT
%N 2
%P 19-22
%D 2013
%I International Journal of Computer Applications
Abstract

Diseases are the most serious social and expensive problem faced by the society. In the past decade, world has experienced a rapid increase in various Liver diseases and Ectopic Pregnancy. In this work we propose a novel approach to evaluate the increased tendency of ectopic pregnancy and liver disease among such groups, using data mining techniques. It's due to the modern adaptive life style and cultural changes of our society.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Regression Analysis Hypothesis