Predicting adverse drug reaction signal from medical data via systematic data preprocessing and machine learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 전준혁 | ko |
| dc.contributor.author | 홍유진 | ko |
| dc.contributor.author | 김현욱 | ko |
| dc.date.accessioned | 2023-12-08T05:04:14Z | - |
| dc.date.available | 2023-12-08T05:04:14Z | - |
| dc.date.created | 2023-12-01 | - |
| dc.date.issued | 2023-11-14 | - |
| dc.identifier.citation | BIOINFO 2023 정기학술대회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/316067 | - |
| dc.language | Korean | - |
| dc.publisher | 한국생명정보학회 | - |
| dc.title | Predicting adverse drug reaction signal from medical data via systematic data preprocessing and machine learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | BIOINFO 2023 정기학술대회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 여수 소노캄 | - |
| dc.contributor.localauthor | 김현욱 | - |
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