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Research Letter
Generalizing the application of machine learning predictive models across different populations: does a model to predict the use of renal replacement therapy in critically ill COVID-19 patients apply to general intensive care unit patients?
Crit Care Sci. 2024;36:e20240285en
Abstract
Research LetterGeneralizing the application of machine learning predictive models across different populations: does a model to predict the use of renal replacement therapy in critically ill COVID-19 patients apply to general intensive care unit patients?
Crit Care Sci. 2024;36:e20240285en
DOI 10.62675/2965-2774.20240285-pt
Views28TO THE EDITOR The widespread use of machine learning has created the possibility of generating robust prediction models for individual patients; however, caution is needed in their use for heterogeneous critically ill populations.() Recent literature has demonstrated major advances in the field of acute kidney injury prediction and the need for renal replacement therapy (RRT).() […]See more
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Case reports Child Coronavirus infections COVID-19 Critical care Critical illness Infant, newborn Intensive care Intensive care units Intensive care units, pediatric mechanical ventilation Mortality Physical therapy modalities Prognosis Respiration, artificial Respiratory insufficiency risk factors SARS-CoV-2 Sepsis Septic shock