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Sim•TwentyFive: An Interactive Visualization System for Data-Driven Decision Support

Clinicians at the bedside are increasingly overwhelmed by an inundation of information and must rely largely on pattern recognition and professional experience to comprehend complex clinical data and treat their patients in a timely manner. Traditional decision support systems are based on rules and...

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Detalhes bibliográficos
Main Authors: Stubbs, Brendan, Kale, David C., Das, Amar
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3540525/
https://ncbi.nlm.nih.gov/pubmed/23304364
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