title: 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 set that was independent of the training set used.
authors.affiliation: Philips Healthcare, Andover, MA, USA.
authors.forename: Wei
authors.initials: W
authors.lastname: Zong
authors.forename: Mohammed
authors.initials: M
authors.lastname: Saeed
authors.forename: Larry
authors.initials: L
authors.lastname: Nielsen
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001795:Blood Pressure Determination / Q000379:methods*; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000187:drug effects* / Q000379:methods*; D006801:Humans; D006973:Hypertension / Q000188:drug therapy*; D008404:Massachusetts; D014662:Vasoconstrictor Agents / Q000008:administration & dosage*
chemical_list: D014662:Vasoconstrictor Agents