title: Application of fuzzy functions for visual presentation of medical data.
abstract: While interpretation of medical data is very often an ambiguous process, computers usually display results of recommendations, provided by both human experts and computer algorithms, as concrete data. This study proposes a visual presentation of relative degrees of uncertainty along with "standard" concrete medical data. A medical parameter (mean arterial pressure) is dynamically evaluated during surgery for being too low or too high. Fuzzy membership functions are utilized to display degrees of deviation in the form of a clear and concise pie chart. Thus, in the Operating Room the anesthesiologist can be provided with an easy statistical assessment of uncertainty of existing recommendations.
authors.affiliation: Department of Anesthesiology, Mount Sinai School of Medicine, New York, New York 10029-6574, USA. marina.krol@mssm.edu
authors.forename: M
authors.initials: M
authors.lastname: Krol
authors.forename: D L
authors.initials: DL
authors.lastname: Reich
authors.forename: L
authors.initials: L
authors.lastname: Pavone
authors.forename: A
authors.initials: A
authors.lastname: Fuhrman
mesh_terms: D000465:Algorithms; D000776:Anesthesiology / Q000295:instrumentation* / Q000379:methods; D001185:Artificial Intelligence; D001794:Blood Pressure / Q000502:physiology; D003626:Data Display; D003658:Decision Making, Computer-Assisted; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D017143:Fuzzy Logic; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008491:Medical Informatics Applications; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods*; D009873:Operating Rooms; D035501:Uncertainty