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
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2023-08-01
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Series: | HemaSphere |
Online Access: | http://journals.lww.com/10.1097/01.HS9.0000975224.49634.6b |
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author | Matthew J. Pianko Niodita Gupta-Werner Bruno Emond Patrick Lefebvre Marie-Helene Lafeuille Annelore Cortoos Shuchita Kaila |
author_facet | Matthew J. Pianko Niodita Gupta-Werner Bruno Emond Patrick Lefebvre Marie-Helene Lafeuille Annelore Cortoos Shuchita Kaila |
author_sort | Matthew J. Pianko |
collection | DOAJ |
first_indexed | 2024-03-07T16:33:01Z |
format | Article |
id | doaj.art-edc1a82c232f4fd6b43fc08ce6ba5a0f |
institution | Directory Open Access Journal |
issn | 2572-9241 |
language | English |
last_indexed | 2024-03-07T16:33:01Z |
publishDate | 2023-08-01 |
publisher | Wiley |
record_format | Article |
series | HemaSphere |
spelling | doaj.art-edc1a82c232f4fd6b43fc08ce6ba5a0f2024-03-03T10:07:37ZengWileyHemaSphere2572-92412023-08-017e496346b10.1097/01.HS9.0000975224.49634.6b202308003-01980PB2110: 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 APPROACHMatthew J. Pianko0Niodita Gupta-Werner1Bruno Emond2Patrick Lefebvre3Marie-Helene Lafeuille4Annelore Cortoos5Shuchita Kaila61 University of Michigan, Department of Internal Medicine, Division of Hematology/Oncology, Ann Arbor, United States2 Janssen Scientific Affairs, LLC, Horsham, United States3 Analysis Group, Inc., Montreal, Canada3 Analysis Group, Inc., Montreal, Canada3 Analysis Group, Inc., Montreal, Canada2 Janssen Scientific Affairs, LLC, Horsham, United States2 Janssen Scientific Affairs, LLC, Horsham, United Stateshttp://journals.lww.com/10.1097/01.HS9.0000975224.49634.6b |
spellingShingle | Matthew J. Pianko Niodita Gupta-Werner Bruno Emond Patrick Lefebvre Marie-Helene Lafeuille Annelore Cortoos Shuchita Kaila 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 HemaSphere |
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 |
url | http://journals.lww.com/10.1097/01.HS9.0000975224.49634.6b |
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