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

Bibliographic Details
Main Authors: Matthew J. Pianko, Niodita Gupta-Werner, Bruno Emond, Patrick Lefebvre, Marie-Helene Lafeuille, Annelore Cortoos, Shuchita Kaila
Format: Article
Language:English
Published: Wiley 2023-08-01
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
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issn 2572-9241
language English
last_indexed 2024-03-07T16:33:01Z
publishDate 2023-08-01
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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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