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
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;
Conference_Titel :
Advances in Recent Technologies in Communication and Computing (ARTCom 2011), 3rd International Conference on
Conference_Location :
Bangalore
DOI :
10.1049/ic.2011.0067
