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Risk Stratification for LDL Cholesterol using Induction Technique

Authors
 Seung Hee Ho  ;  Hyun Young Park  ;  Sun Ha Jee  ;  Yang Soo Jang 
Citation
 Studies in Health Technology and Informatics, Vol.12(Pt 1) : 571-575, 2007 
Journal Title
Studies in Health Technology and Informatics
ISSN
 0926-9630 
Issue Date
2007
Abstract
We identified the combined patterns of LDL cholesterol risk factors including biometric, environmental and genetic factors using induction technique. In this hospital based cardiovascular genome study of Korean men and women, we found that CART (classification and regression tree) was a better method to predict LDL cholesterol compared to the regression method. The CART had a better prediction ability than the multiple regression for male and female, respectively. We also identified combined patterns of LDL cholesterol risk factors and segment specific information for LDL cholesterol management using induction rules. The CART method provided more detailed results according to each segmentation and subgroup. In addition, we demonstrated how the CART algorithm could be used in risk assessment and target segmentation of LDL cholesterol management.
Full Text
http://ebooks.iospress.nl/publication/11040
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Jang, Yang Soo(장양수) ORCID logo https://orcid.org/0000-0002-2169-3112
Jee, Sun Ha(지선하) ORCID logo https://orcid.org/0000-0001-9519-3068
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/97373
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