Two-level classification schemes in medical diagnostics.
A two-level classifier for medical applications is considered. Such classifiers are expected to yield a more precise result than classical one-level classifiers. The underlying idea for two-level classification is supported by the routine practice of physicians to confirm the diagnosis by several data-driven inferences. An overview of the types of the two-level classifiers is presented. The competitive two-level classifier is emphasized. Three examples with real clinical data are presented from the fields of cardiology, aviation medicine, and neonatology.
Central Laboratory of Bioinstrumentation and Automation, Bulgarian Academy of Sciences, Sofia.
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Kuncheva
D000337:Aerospace Medicine; D000465:Algorithms; D001794:Blood Pressure / Q000502:physiology; D003331:Coronary Vessels / Q000473:pathology; D003936:Diagnosis, Computer-Assisted / Q000145:classification* / Q000379:methods; D016002:Discriminant Analysis; D005103:Expert Systems; D006801:Humans; D006819:Hyaline Membrane Disease / Q000175:diagnosis; D000860:Hypoxia / Q000175:diagnosis / Q000503:physiopathology; D007231:Infant, Newborn; D008297:Male; D017202:Myocardial Ischemia / Q000175:diagnosis / Q000473:pathology; D012307:Risk Factors