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.
Kuncheva
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Central Laboratory of Bioinstrumentation and Automation, Bulgarian Academy of Sciences, Sofia.
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