A Machine Learning Approach for Investigating Delirium as a Multifactorial Syndrome

A Machine Learning Approach for Investigating Delirium as a Multifactorial Syndrome

Delirium is a psycho-organic syndrome common in hospitalized patients, especially the elderly, and is associated with poor clinical outcomes. This study aims to identify the predictors that are mostly associated with the risk of delirium episodes using a machine learning technique (MLT). A random fo...

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Bibliographic Details
Main Authors: Honoria Ocagli, Daniele Bottigliengo, Giulia Lorenzoni, Danila Azzolina, Aslihan S. Acar, Silvia Sorgato, Lucia Stivanello, Mario Degan, Dario Gregori
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
aging
nursing
delirium
machine learning technique
random forest
Online Access:https://www.mdpi.com/1660-4601/18/13/7105

Internet

https://www.mdpi.com/1660-4601/18/13/7105

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