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

fYear

2013

fDate

24-26 June 2013

Firstpage

1

Lastpage

3

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Applications (ICISA), 2013 International Conference on

Conference_Location

Suwon

Print_ISBN

978-1-4799-0602-4

Type

conf

DOI

10.1109/ICISA.2013.6579455

Filename

6579455