DocumentCode :
3696895
Title :
A Data Mining Analysis of Asthma Risk Factors
Author :
Alma Pochini;Ben M. Williams;Hasanboy M. Isomitdinov;Gongzhu Hu
Author_Institution :
Depts. of Finance, Law, Central Michigan Univ., Mount Pleasant, MI, USA
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
349
Lastpage :
354
Abstract :
Asthma is a chronic inflammatory disease of theairways. Although causes of asthma may directly related toenvironment factors such as dust mites, pollens, cold air, etc.,we would like to find out if demographic, social and behaviorfactors also play a role. In this paper, we present a studyof the behavioral rick factors in relation to people gettingasthma. This study applies data mining techniques to the 2013Behavioral Risk Factor Surveillance System (BRFSS) dataset ofover 490,000 observations with 336 variables. The results revealsome relationships between some of these variables and asthmathat may help asthma prevention.
Keywords :
"Logistics","Diseases","Data mining","Neural networks","Regression tree analysis"
Publisher :
ieee
Conference_Titel :
Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence (ACIT-CSI), 2015 3rd International Conference on
Type :
conf
DOI :
10.1109/ACIT-CSI.2015.101
Filename :
7336087
Link To Document :
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