The automated malnutrition assessment.

Objective: We propose an automated nutritional assessment algorithm that provides a method for malnutrition risk prediction with high accuracy and reliability. Methods: The database used for this study was a file of 432 patients, where each patient was described by 4 laboratory parameters and 11 cli...

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Bibliographic Details
Published in:Nutrition Vol. 29; no. 1; pp. 113 - 122
Main Authors: David, Gil, Bernstein, Larry Howard, Coifman, Ronald R.
Format: equations & formulas research tables/charts Journal Article
Published: Elsevier B.V. 2013
Online Access:View this record in EBSCOhost