Sepsis mortality prediction with the Quotient Basis Kernel

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摘要

ObjectiveThis paper presents an algorithm to assess the risk of death in patients with sepsis. Sepsis is a common clinical syndrome in the intensive care unit (ICU) that can lead to severe sepsis, a severe state of septic shock or multi-organ failure. The proposed algorithm may be implemented as part of a clinical decision support system that can be used in combination with the scores deployed in the ICU to improve the accuracy, sensitivity and specificity of mortality prediction for patients with sepsis.

论文关键词:Kernels,Support vector machines,Sepsis,Mortality prediction,Critical care

论文评审过程:Received 7 April 2013, Revised 12 March 2014, Accepted 16 March 2014, Available online 27 March 2014.

论文官网地址:https://doi.org/10.1016/j.artmed.2014.03.004