Linked Life Data

17911781

Source:http://linkedlifedata.com/resource/pubmed/id/17911781

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 1
pubmed:dateCreated
2007-10-3
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
129
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
571-5
pubmed:dateRevised
2008-7-10
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Risk stratification for LDL cholesterol using induction technique.
pubmed:affiliation
Department of Health Informatics, Graduate School of Public Health, Yonsei University, Seoul, Korea.
pubmed:publicationType
Journal Article, Comparative Study