TY - GEN
T1 - Risk stratification for LDL cholesterol using induction technique
AU - Ho, Seung Hee
AU - Park, Hyun Young
AU - Jang, Yang Soo
AU - Jee, Sun Ha
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=38449123534&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38449123534&partnerID=8YFLogxK
M3 - Conference contribution
C2 - 17911781
AN - SCOPUS:38449123534
SN - 9781586037741
T3 - Studies in Health Technology and Informatics
SP - 571
EP - 575
BT - MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics
PB - IOS Press
T2 - 12th World Congress on Medical Informatics, MEDINFO 2007
Y2 - 20 August 2007 through 24 August 2007
ER -