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This study is a sub-analysis of the ESICM UNITE-COVID study, which has been extensively described elsewhere [1]. Briefly, UNITE-COVID is a multicenter, international, anonymized observational study carried out in 280 hospitals from 46 countries during ‘wave one’ (defined as 15th of February until 15th of May 2020).
KEY POINTS Question: Machine learning applications for the ICU lack rigorous external validation. We assessed the external validity and effect of retraining on the predictive performance for a certified machine learning model. Findings: Generalizability was difficult to attain for this machine learning model despite apparent similarities between patient population, healthcare context, and model specification.
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