Predicting hospital length of stay at admission using global and country-specific competing risk analysis of structural, patient, and nutrition-related data from utritionDay 2007-2015

Predicting hospital length of stay at admission using global and country-specific competing risk analysis of structural, patient, and nutrition-related data from utritionDay 2007-2015

Hospital length of stay (LOS) is an important clinical and economic outcome and knowing its predictors could lead to better planning of resources needed during hospitalization. This analysis sought to identify structure, patient, and nutrition-related predictors of LOS available at the time of admis...

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Bibliographic Details
Main Authors:	Kiss, N, Hiesmayr, M, Sulz, I, Bauer, P, Heinze, G, Mouhieddine, M, Schuh, C, Tarantino, S, Simon, J
Format:	Journal article
Language:	English
Published:	MDPI 2021

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