Machine learning models to predict outcomes at 30‐days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer

Machine learning models to predict outcomes at 30‐days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer

Abstract Background Equipment to assess muscle mass is not available in all health services. Yet we have limited understanding of whether applying the Global Leadership Initiative on Malnutrition (GLIM) criteria without an assessment of muscle mass affects the ability to predict adverse outcomes. Th...

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Bibliographic Details
Main Authors: Nicole Kiss, Belinda Steer, Marian de van derSchueren, Jenelle Loeliger, Roohallah Alizadehsani, Lara Edbrooke, Irene Deftereos, Erin Laing, Abbas Khosravi
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Journal of Cachexia, Sarcopenia and Muscle
Subjects:
Cancer
GLIM
Malnutrition
Muscle mass
Validation
Online Access:https://doi.org/10.1002/jcsm.13259

Internet

https://doi.org/10.1002/jcsm.13259

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