DocumentCode :
2175375
Title :
Tree miner - a data mining tool for asthma patient diagnosis system
Author :
Sangeetha, M. ; Aruna, M. ; Deepa, M. ; Tamijeselvy, P.
Author_Institution :
CSE, VLBJCET, Coimbatore
fYear :
2007
fDate :
20-22 Dec. 2007
Firstpage :
1083
Lastpage :
1089
Abstract :
In the healthcare sector tree finder considers childhood asthma. It has emerged perhaps as the commonest chronic medical problem treated by pediatricians all over the world. So it needs several analysis works, which is very important in the medical field. This system takes the diagnosed information of asthma patients and do various analyses work on that. This analysis provides a good result which is used for some decision making. What was originally thought to be a disorder affecting only adults has emerged as a very significant problem affecting the child´s life style and day to day activities including schooling, sports and recreation? The prevalence of childhood asthma in India varies from 5-18% with the reported prevalence of 8-9% in the city of Chennai. The prevalence of morbidity and mortality from asthma seems to be on the rise. The evidence for a world wide increase in asthma cases is so strong and consistent that the trend cannot be considered artifact. Presently there are 150 million people affected with asthma world over. Because asthma is a complex and heterogeneous disease with many phenotypic expressions through the course of childhood, it is challenging to characterize.
Keywords :
data mining; diseases; medical diagnostic computing; paediatrics; patient diagnosis; association rule mining; asthma patient diagnosis system; childhood asthma; chronic medical problem; data mining tool; health care; pediatrician; phenotypic expression; tree miner; Apriori algorithm; Association Rule Mining; Clustering; Frequent Item Set; Tree Finder;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
Conference_Location :
Tamil Nadu
ISSN :
0537-9989
Type :
conf
Filename :
4735955
Link To Document :
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