Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort-Reference-Cited by-同舟云学术

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort

Published:2022-05 Issue:3 Volume:7 Page:100890
ISSN:2452-1094
Container-title:Advances in Radiation Oncology
language:en
Short-container-title:Advances in Radiation Oncology

Author:

Aldraimli Mahmoud,Osman Sarah,Grishchuck Diana,Ingram Samuel,Lyon Robert,Mistry Anil,Oliveira Jorge,Samuel Robert,Shelley Leila E.A.,Soria Daniele,Dwek Miriam V.,Aguado-Barrera Miguel E.,Azria David,Chang-Claude Jenny,Dunning Alison,Giraldo Alexandra,Green Sheryl,Gutiérrez-Enríquez Sara,Herskind Carsten,van Hulle Hans,Lambrecht Maarten,Lozza Laura,Rancati Tiziana,Reyes Victoria,Rosenstein Barry S.,de Ruysscher Dirk,de Santis Maria C.,Seibold Petra,Sperk Elena,Symonds R. Paul,Stobart Hilary,Taboada-Valadares Begoña,Talbot Christopher J.,Vakaet Vincent J.L.,Vega Ana,Veldeman Liv,Veldwijk Marlon R.,Webb Adam,Weltens Caroline,West Catharine M.,Chaussalet Thierry J.,Rattay Tim^ORCID

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology

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