title: Anesthesia outcome prediction.
abstract: This paper studies the problem of outcome prediction in anesthesia procedures. Anesthesia depth and blood pressures are used as typical outcomes in this study. Traditional diagnosis and control in anesthesia focus on a one-drug-one-outcome scenario. It is well understood, however, that consideration of multiple outcomes is necessary and beneficial for anesthesia managements. This paper introduces a method of modeling that significantly reduces the complexity of the problem and yet retains model accuracy. Utility of the modeling method is demonstrated in the areas of anesthesia outcome prediction and decision assistance.
authors: Department of Electrical and Computer Engineering, Wayne State University, Detroit, Michigan 48202, USA. au6063@wayne.edu
authors: Zhibin
authors: Z
authors: Tan
authors: Romeo
authors: R
authors: Kaddoum
authors: Le Yi
authors: le Y
authors: Wang
authors: Hong
authors: H
authors: Wang
mesh_terms: D000758:Anesthesia; D001794:Blood Pressure / Q000187:drug effects; D004569:Electroencephalography / Q000187:drug effects; D006801:Humans; D008991:Monitoring, Physiologic; D017063:Outcome Assessment, Health Care