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An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups
IJCA Special Issue on International Conference on Communication, Computing and Information Technology
© 2013 by IJCA Journal
ICCCMIT - Number 2
Year of Publication: 2013
A S Aneeshkumar and Jothi C Venkateswaran. Article: An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups. IJCA Special Issue on International Conference on Communication, Computing and Information Technology ICCCMIT(2):19-22, February 2013. Full text available. BibTeX
@article{key:article,
author = {A. S. Aneeshkumar and C. Jothi Venkateswaran},
title = {Article: An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups},
journal = {IJCA Special Issue on International Conference on Communication, Computing and Information Technology},
year = {2013},
volume = {ICCCMIT},
number = {2},
pages = {19-22},
month = {February},
note = {Full text available}
}
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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