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Prediction of hospital mortality in intensive care unit patients from clinical and laboratory data: A machine learning approach
12
Zitationen
6
Autoren
2022
Jahr
Abstract
We demonstrated the efficacy of a Random Forest machine learning algorithm for handling clinical and laboratory data from patients under intensive monitoring. Therefore, we endorse the emerging notion that machine learning has great potential to provide us support to critically question existing methodologies, allowing improvements that reduce mortality.
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