Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor

Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor

Background: Malnutrition is prevalent in elderly inpatients and is associated with various adverse outcomes during their hospital stay, but the diagnosis of malnutrition still lacks widely applicable criteria. This study aimed to investigate the association of malnutrition diagnosed with the SGA, ES...

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Bibliographic Details
Main Authors: Shan-Shan Ren, Ming-Wei Zhu, Kai-Wen Zhang, Bo-Wen Chen, Chun Yang, Rong Xiao, Peng-Gao Li
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Nutrients
Subjects:
GLIM
SGA
ESPEN 2015
malnutrition
in-hospital complications
elderly patients
Online Access:https://www.mdpi.com/2072-6643/14/15/3035

Internet

https://www.mdpi.com/2072-6643/14/15/3035

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