A study of cardiovascular disease prediction models using discriminant analysis

Yang, Jung Gi; Choi, Hyun Bok; Kim, Jung Tae; Jang, Mi Hee; Kang, Un Gu; Lee, Young Ho

doi:10.1109/ICISA.2013.6579455

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A study of cardiovascular disease prediction models using discriminant analysis

Yang, Jung Gi;
Choi, Hyun Bok;
Kim, Jung Tae;
Jang, Mi Hee;
Kang, Un Gu;
... Lee, Young Ho

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초록

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). © 2013 IEEE.

키워드

Cardiovascular disease risk prediction; Clinical Decision Support System(CDSS); Data Mining; Discriminant analysis; KNHANES V; Cardio-vascular disease; Causes of death; Clinical decision support systems; Data set; Early diagnosis; KNHANES; Prediction model; Artificial intelligence; Data mining; Decision support systems; Diagnosis; Discriminant analysis; Information science; Mathematical models; Diseases

제목: A study of cardiovascular disease prediction models using discriminant analysis

저자: Yang, Jung Gi; Choi, Hyun Bok; Kim, Jung Tae; Jang, Mi Hee; Kang, Un Gu; Lee, Young Ho

DOI: 10.1109/ICISA.2013.6579455

발행일: 2013-06

유형: Conference Paper

저널명: 2013 International Conference on Information Science and Applications, ICISA 2013

언어: ENG

출판사: IEEE

발행국가: 태국

ISSN: P 0000-0000