DC Field | Value | Language |
---|---|---|
dc.contributor.author | 홍의진 | ko |
dc.contributor.author | 전준혁 | ko |
dc.contributor.author | 김현욱 | ko |
dc.date.accessioned | 2023-05-16T03:00:15Z | - |
dc.date.available | 2023-05-16T03:00:15Z | - |
dc.date.created | 2023-05-14 | - |
dc.date.issued | 2023-04-13 | - |
dc.identifier.citation | 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄 | - |
dc.identifier.uri | http://hdl.handle.net/10203/306856 | - |
dc.language | English | - |
dc.publisher | 한국생물공학회 | - |
dc.title | Detection of adverse drug reaction signals from medical and molecular data by using machine learning | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | 제주국제컨벤션센터 | - |
dc.contributor.localauthor | 김현욱 | - |
dc.contributor.nonIdAuthor | 홍의진 | - |
dc.contributor.nonIdAuthor | 전준혁 | - |
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