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PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429422/ http://dx.doi.org/10.1097/01.HS9.0000975224.49634.6b |
| _version_ | 1785090709130313728 |
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| author | Pianko, Matthew J. Gupta-Werner, Niodita Emond, Bruno Lefebvre, Patrick Lafeuille, Marie-Helene Cortoos, Annelore Kaila, Shuchita |
| author_facet | Pianko, Matthew J. Gupta-Werner, Niodita Emond, Bruno Lefebvre, Patrick Lafeuille, Marie-Helene Cortoos, Annelore Kaila, Shuchita |
| author_sort | Pianko, Matthew J. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10429422 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104294222023-08-17 PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH Pianko, Matthew J. Gupta-Werner, Niodita Emond, Bruno Lefebvre, Patrick Lafeuille, Marie-Helene Cortoos, Annelore Kaila, Shuchita Hemasphere Publication Only Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10429422/ http://dx.doi.org/10.1097/01.HS9.0000975224.49634.6b Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access Abstract Book distributed under the Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) which allows third parties to download the articles and share them with others as long as they credit the author and the Abstract Book, but they cannot change the content in any way or use them commercially. |
| spellingShingle | Publication Only Pianko, Matthew J. Gupta-Werner, Niodita Emond, Bruno Lefebvre, Patrick Lafeuille, Marie-Helene Cortoos, Annelore Kaila, Shuchita PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH |
| title | PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH |
| title_full | PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH |
| title_fullStr | PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH |
| title_full_unstemmed | PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH |
| title_short | PB2110: PREDICTORS OF FRONTLINE (FL) DOUBLET OR TRIPLET REGIMEN USE AMONG TRANSPLANT-INELIGIBLE (TIE) PATIENTS (PTS) WITH NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) USING A MACHINE LEARNING APPROACH |
| title_sort | pb2110: predictors of frontline (fl) doublet or triplet regimen use among transplant-ineligible (tie) patients (pts) with newly diagnosed multiple myeloma (ndmm) using a machine learning approach |
| topic | Publication Only |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429422/ http://dx.doi.org/10.1097/01.HS9.0000975224.49634.6b |
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