Prediction of adverse drug reaction signals from medical data by using machine learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hong, Eujin | ko |
| dc.contributor.author | Jeon, Junhyeok | ko |
| dc.contributor.author | Kim, Hyun Uk | ko |
| dc.date.accessioned | 2023-12-09T03:00:46Z | - |
| dc.date.available | 2023-12-09T03:00:46Z | - |
| dc.date.created | 2023-11-30 | - |
| dc.date.issued | 2023-11-19 | - |
| dc.identifier.citation | GIW ISCB ASIA 2023 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/316109 | - |
| dc.language | English | - |
| dc.publisher | Association of Asian Societies for Bioinformatics (AASBi) | - |
| dc.title | Prediction of adverse drug reaction signals from medical data by using machine learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | GIW ISCB ASIA 2023 | - |
| dc.identifier.conferencecountry | SI | - |
| dc.identifier.conferencelocation | Health City Novena | - |
| dc.contributor.localauthor | Kim, Hyun Uk | - |
- Appears in Collection
- CBE-Conference Papers(학술회의논문)
- Files in This Item
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.