Decision tree driven rule induction for heart disease prediction model: Korean National Health and Nutrition Examinations Survey V-1
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, J.-K. | - |
dc.contributor.author | Son, E.-J. | - |
dc.contributor.author | Lee, Y.-H. | - |
dc.contributor.author | Park, D.-K. | - |
dc.date.available | 2020-02-29T00:47:19Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14891 | - |
dc.description.abstract | Heart disease has the highest rates of death in non-communicable disease and there have been much research on heart disease. Even though there is recognition for importance of heart disease prediction, related studies are insufficient. Therefore, to develop heart disease prediction model for Korean, we suggest data mining driven rule induction for heart disease prediction in this paper. Proposed method suggest heart disease prediction model by applying decision tree driven rule induction based on data set from Korean National Health and Nutrition Examinations Survey V-1 (KNHANES V-1). The prediction model is expected contribute to Korea's heart disease prediction. © 2013 Springer Science+Business Media. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.relation.isPartOf | Lecture Notes in Electrical Engineering | - |
dc.subject | Data set | - |
dc.subject | Heart disease | - |
dc.subject | KNHANES | - |
dc.subject | Non-communicable disease | - |
dc.subject | Prediction model | - |
dc.subject | Rule induction | - |
dc.subject | Cardiology | - |
dc.subject | Data mining | - |
dc.subject | Decision trees | - |
dc.subject | Forecasting | - |
dc.subject | Mathematical models | - |
dc.subject | Nutrition | - |
dc.subject | Surveys | - |
dc.subject | Diseases | - |
dc.title | Decision tree driven rule induction for heart disease prediction model: Korean National Health and Nutrition Examinations Survey V-1 | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1007/978-94-007-5860-5_123 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, v.215 LNEE, pp.1015 - 1020 | - |
dc.identifier.scopusid | 2-s2.0-84874127223 | - |
dc.citation.endPage | 1020 | - |
dc.citation.startPage | 1015 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 215 LNEE | - |
dc.contributor.affiliatedAuthor | Son, E.-J. | - |
dc.contributor.affiliatedAuthor | Lee, Y.-H. | - |
dc.contributor.affiliatedAuthor | Park, D.-K. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Data mining | - |
dc.subject.keywordAuthor | Decision tree | - |
dc.subject.keywordAuthor | Heart disease prediction | - |
dc.subject.keywordAuthor | KNHANES V-1 | - |
dc.subject.keywordAuthor | Rule induction | - |
dc.subject.keywordPlus | Data set | - |
dc.subject.keywordPlus | Heart disease | - |
dc.subject.keywordPlus | KNHANES | - |
dc.subject.keywordPlus | Non-communicable disease | - |
dc.subject.keywordPlus | Prediction model | - |
dc.subject.keywordPlus | Rule induction | - |
dc.subject.keywordPlus | Cardiology | - |
dc.subject.keywordPlus | Data mining | - |
dc.subject.keywordPlus | Decision trees | - |
dc.subject.keywordPlus | Forecasting | - |
dc.subject.keywordPlus | Mathematical models | - |
dc.subject.keywordPlus | Nutrition | - |
dc.subject.keywordPlus | Surveys | - |
dc.subject.keywordPlus | Diseases | - |
dc.description.journalRegisteredClass | scopus | - |
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