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Predicting adverse hemodynamic events in critically ill patients

PURPOSE OF REVIEW: The art of predicting future hemodynamic instability in the critically ill has rapidly become a science with the advent of advanced analytical processed based on computer-driven machine learning techniques. How these methods have progressed beyond severity scoring systems to inter...

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Publicado en:Curr Opin Crit Care
Main Authors: Yoon, Joo Heung, Pinsky, Michael R.
Formato: Artigo
Idioma:Inglês
Publicado: 2018
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6007856/
https://ncbi.nlm.nih.gov/pubmed/29601321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MCC.0000000000000496
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