title: Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction.
authors.affiliation: Department of Emergency Medicine and Medicine, University of California, San Diego Medical Center 92093, USA.
authors.forename: W G
authors.initials: WG
authors.lastname: Baxt
authors.forename: H
authors.initials: H
authors.lastname: White
mesh_terms: D016001:Confidence Intervals; D004562:Electrocardiography; D004632:Emergency Medical Services; D006801:Humans; D009203:Myocardial Infarction / Q000175:diagnosis* / Q000503:physiopathology; D016571:Neural Networks, Computer