Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model

BACKGROUND: The intensive care unit (ICU) length of stay (LOS) of patients undergoing cardiac surgery may vary considerably, and is often difficult to predict within the first hours after admission. The early clinical evolution of a cardiac surgery patient might be predictive for his LOS. The purpos...

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書誌詳細
主要な著者: Meyfroidt, Geert, Güiza, Fabian, Cottem, Dominiek, De Becker, Wilfried, Van Loon, Kristien, Aerts, Jean-Marie, Berckmans, Daniël, Ramon, Jan, Bruynooghe, Maurice, Van den Berghe, Greet
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2011
主題:
Research Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3228706/
https://ncbi.nlm.nih.gov/pubmed/22027016
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-11-64
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