Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU.
Journal:
Critical care (London, England)
Published Date:
Jan 3, 2023
Abstract
BACKGROUND: While early mobilization is commonly implemented in intensive care unit treatment guidelines to improve functional outcome, the characterization of the optimal individual dosage (frequency, level or duration) remains unclear. The aim of this study was to demonstrate that artificial intelligence-based clustering of a large ICU cohort can provide individualized mobilization recommendations that have a positive impact on the likelihood of being discharged home.