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데이터마이닝 기법을 활용한 제왕절개 수술환자의 critical pathway 개발에 관한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 채영문 | - |
dc.date.accessioned | 2016-05-16T11:15:09Z | - |
dc.date.available | 2016-05-16T11:15:09Z | - |
dc.date.issued | 2002 | - |
dc.identifier.issn | 1225-8903 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/144132 | - |
dc.description.abstract | The objectives of this study was : to discover knowledge in predicting lengths of stay of Cesarean Section by patients' characteristics and treatment method using data mining technique ; and to suggest the approach to the development of critical pathway. The findings suggest that data mining technique from the large pool of accumulated patients' data can be utilized to systematize newly observed correlations, patterns and trends and to develop critical pathway for the treatment and management. The results of the study can be contributed to aid developing the clinical pathway for cesarean section suitable to Korean patients. And the application of the developed critical pathway in clinical practice will produce the actual effect and value. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 41~50 | - |
dc.relation.isPartOf | Journal of Korean Society of Medical Informatics (대한의료정보학회지) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | 데이터마이닝 기법을 활용한 제왕절개 수술환자의 critical pathway 개발에 관한 연구 | - |
dc.title.alternative | Study on the Development of Critical Pathway for the Cesarean Section using Data Mining Technique | - |
dc.type | Article | - |
dc.contributor.college | Graduate School of Public Health (보건대학원) | - |
dc.contributor.department | Graduate School of Public Health (보건대학원) | - |
dc.contributor.googleauthor | 호승희 | - |
dc.contributor.googleauthor | 채영문 | - |
dc.contributor.googleauthor | 최명애 | - |
dc.contributor.googleauthor | 송미라 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A04019 | - |
dc.relation.journalcode | J01544 | - |
dc.subject.keyword | Cesarean Section | - |
dc.subject.keyword | Critical Pathway | - |
dc.subject.keyword | Lengths of Stay | - |
dc.subject.keyword | Data Mining | - |
dc.contributor.alternativeName | Chae, Young Moon | - |
dc.contributor.affiliatedAuthor | Chae, Young Moon | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 8 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 41 | - |
dc.citation.endPage | 50 | - |
dc.identifier.bibliographicCitation | Journal of Korean Society of Medical Informatics (대한의료정보학회지), Vol.8(2) : 41-50, 2002 | - |
dc.identifier.rimsid | 56627 | - |
dc.type.rims | ART | - |
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