DocumentCode
1981264
Title
Mining important predictors of heart attack
Author
Satapathy, S. ; Chattopadhyay, Subrata
Author_Institution
Dept. of Comput. Sci. & Eng., Nat. Inst. of Sci. & Technol., Berhampur, India
fYear
2011
fDate
14-15 Nov. 2011
Firstpage
143
Lastpage
147
Abstract
Risk of heart attack is a global issue. This paper attempts to mathematically model the influence of eleven predictors on the heart attack risk. The contribution of each predictor and the related risk of heart attack are obtained from a group of medical doctors. Total 300 such cases are structured in a 300 * 12 matrix to conduct the study. Using statistical data mining, significant joint predictors have been extracted and clinically validated. The study also measures the variations in interpretations among doctors.
Keywords
cardiology; data mining; mathematical analysis; medical administrative data processing; statistical analysis; heart attack risk; important predictor mining; joint predictors have; mathematically model; medical doctors; statistical data mining; Cardiac risk; Contributors; Data engineering; Predictors; Significance test;
fLanguage
English
Publisher
iet
Conference_Titel
Advances in Recent Technologies in Communication and Computing (ARTCom 2011), 3rd International Conference on
Conference_Location
Bangalore
Type
conf
DOI
10.1049/ic.2011.0067
Filename
6193556
Link To Document