Title :
A Study of Cardiovascular Disease Prediction Models Using Discriminant Analysis
Author :
Jung Gi Yang ; Hyun Bok Choi ; Jung Tae Kim ; Mi Hee Jang ; Un Gu Kang ; Young Ho Lee
Author_Institution :
Dept. of Comput. Sci., Gachon Univ., Incheon, South Korea
Abstract :
Cardiovascular disease is a condition of interest to clinicians around the world and is one of the chief causes of death. In Korea, cardiovascular disease is the second largest cause of death following cancer, and is classified as one of the four major diseases, making an early diagnosis of cardiovascular disease essential for proper and timely treatment. Although the risk of cardiovascular disease is recognized in Korea, there is a lack of quality studies regarding the disease. In the present study, a prediction model was developed which allows for the calculation of the risk of cardiovascular disease among Korean patients. The prediction model for cardiovascular disease was developed using a discriminant analysis based on the data set of Korean National Health and Nutrition Examinations Survey V (KNHANES V).
Keywords :
cancer; cardiology; data mining; diseases; medical computing; patient diagnosis; KNHANES V; Korean national health and nutrition examinations survey v; Korean patients; cancer; cardiovascular disease diagnosis; cardiovascular disease prediction models; data mining; discriminant analysis; Accuracy; Analytical models; Cardiovascular diseases; Data models; Guidelines; Predictive models;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579455
