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Development of Diagnostic System for FHR Monitering by Using Neural Networks
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 차경준 | - |
| dc.contributor.author | 박문일 | - |
| dc.contributor.author | 오재응 | - |
| dc.contributor.author | 한현주 | - |
| dc.contributor.author | 이해진 | - |
| dc.contributor.author | 박영선 | - |
| dc.date.accessioned | 2022-10-07T11:59:03Z | - |
| dc.date.available | 2022-10-07T11:59:03Z | - |
| dc.date.created | 2022-09-19 | - |
| dc.date.issued | 2006-01 | - |
| dc.identifier.issn | 2287-7843 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172512 | - |
| dc.description.abstract | In this paper, we construct data-base for fetal heart rate (FHR) data and develop the FHR Monitering system to diagnose fetus, HYFM-Ⅲ. For diagnostic system, a few statistical decision making mechanism are adopted, such as approximate entropy, neural networks, and logistic discrimination. Since FHR data is very chaotic, we mostly adopt nonlinear statistical methods. On the basis of this system, we expect to expert system for early detection of abnormal fetus. | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 한국통계학회 | - |
| dc.title | Development of Diagnostic System for FHR Monitering by Using Neural Networks | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 차경준 | - |
| dc.contributor.affiliatedAuthor | 박영선 | - |
| dc.identifier.bibliographicCitation | Communications for Statistical Applications and Methods, v.13, no.1, pp.73 - 88 | - |
| dc.relation.isPartOf | Communications for Statistical Applications and Methods | - |
| dc.citation.title | Communications for Statistical Applications and Methods | - |
| dc.citation.volume | 13 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 73 | - |
| dc.citation.endPage | 88 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART001117753 | - |
| dc.description.journalClass | 2 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Fetal heart rete (FHR) | - |
| dc.subject.keywordAuthor | Approximate entropy | - |
| dc.subject.keywordAuthor | Neural networks. | - |
| dc.identifier.url | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001117753 | - |
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Related Researcher
- Park, Young Sun
- COLLEGE OF NATURAL SCIENCES (DEPARTMENT OF MATHEMATICS)