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Utilizing machine learning to discern hidden clinical values from big data in urology
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim W.-J. | - |
| dc.contributor.author | Jin P. | - |
| dc.contributor.author | Kim W.H. | - |
| dc.contributor.author | Kim J. | - |
| dc.date.available | 2020-05-25T03:35:56Z | - |
| dc.date.created | 2020-05-12 | - |
| dc.date.issued | 2020-05 | - |
| dc.identifier.issn | 2466-0493 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/45688 | - |
| dc.description.abstract | [No abstract available] | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Korean Urological Association | - |
| dc.relation.isPartOf | Investigative and Clinical Urology | - |
| dc.title | Utilizing machine learning to discern hidden clinical values from big data in urology | - |
| dc.type | Article | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.identifier.wosid | 000530626400001 | - |
| dc.identifier.doi | 10.4111/icu.2020.61.3.239 | - |
| dc.identifier.bibliographicCitation | Investigative and Clinical Urology, v.61, no.3, pp.239 - 241 | - |
| dc.description.isOpenAccess | N | - |
| dc.identifier.scopusid | 2-s2.0-85084224684 | - |
| dc.citation.endPage | 241 | - |
| dc.citation.startPage | 239 | - |
| dc.citation.title | Investigative and Clinical Urology | - |
| dc.citation.volume | 61 | - |
| dc.citation.number | 3 | - |
| dc.contributor.affiliatedAuthor | Kim J. | - |
| dc.type.docType | Editorial | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
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