Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree-Reference-Cited by-同舟云学术

Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree

Published:2015 Issue:3 Volume:21 Page:167
ISSN:2093-3681
Container-title:Healthcare Informatics Research
language:en
Short-container-title:Healthc Inform Res

Author:

Kim Jaekwon¹,Lee Jongsik¹,Lee Youngho²

Affiliation:

1. Department of Computer and Information Engineering, Inha University, Incheon, Korea.

2. IT Department, Gachon University, Seongnam, Korea.

Publisher

The Korean Society of Medical Informatics

Subject

Health Information Management,Health Informatics,Biomedical Engineering

Link

https://synapse.koreamed.org/pdf/10.4258/hir.2015.21.3.167

Reference23 articles.

1. World Health Organization. The world health report 2010 [Internet]. Geneva, Switzerland. World Health Organization. c2015. cited at 2015 Jul 1. Available from: http://www.who.int/whr/2010/en/

2. Healthy Lifestyle Through Young Adulthood and the Presence of Low Cardiovascular Disease Risk Profile in Middle Age

3. Prediction of Coronary Heart Disease Using Risk Factor Categories

4. Comparison of the Predictability of Cardiovascular Disease Risk According to Different Metabolic Syndrome Criteria of American Heart Association/National Heart, Lung, and Blood Institute and International Diabetes Federation in Korean Men

5. Adaptive mining prediction model for content recommendation to coronary heart disease patients

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