A vasopressor advisability index for hemodynamic monitoring.

Abstract

To predict the need for vasopressor therapy, arterial blood pressure and heart rate are taken as inputs to a fuzzy-logic based algorithm that generates a 'vasopressor advisability index'. We evaluated the algorithm against patient records from a large intensive care database. The algorithm achieved a sensitivity of 69.7% and a specificity of 84.2% on a test… (More)

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