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Machine learning-assisted identification of optimal first-line treatment for newly diagnosed, transplant ineligible multiple myeloma
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Koo, Jamin | - |
| dc.contributor.author | Park, Sung-Soo | - |
| dc.contributor.author | Min, Chang-Ki | - |
| dc.date.accessioned | 2023-03-10T05:40:58Z | - |
| dc.date.available | 2023-03-10T05:40:58Z | - |
| dc.date.created | 2023-03-10 | - |
| dc.date.issued | 2022-08 | - |
| dc.identifier.issn | 2152-2650 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/30896 | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | CIG MEDIA GROUP, LP | - |
| dc.title | Machine learning-assisted identification of optimal first-line treatment for newly diagnosed, transplant ineligible multiple myeloma | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Koo, Jamin | - |
| dc.identifier.wosid | 000895909200258 | - |
| dc.identifier.bibliographicCitation | CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, v.22, pp.S146 - S146 | - |
| dc.relation.isPartOf | CLINICAL LYMPHOMA MYELOMA & LEUKEMIA | - |
| dc.citation.title | CLINICAL LYMPHOMA MYELOMA & LEUKEMIA | - |
| dc.citation.volume | 22 | - |
| dc.citation.startPage | S146 | - |
| dc.citation.endPage | S146 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Meeting Abstract | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Oncology | - |
| dc.relation.journalResearchArea | Hematology | - |
| dc.relation.journalWebOfScienceCategory | Oncology | - |
| dc.relation.journalWebOfScienceCategory | Hematology | - |
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Collections - College of Engineering > Chemical Engineering Major > 1. Journal Articles
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Related Researcher
- Koo, Jamin
- Engineering (Chemical Engineering)