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.

[1]  Edward H. Shortliffe,et al.  Knowledge-Based Systems in Medicine , 1991, MIE.

[2]  Ashok K. Goel,et al.  From numbers to symbols to knowledge structures: artificial intelligence perspectives on the classification task , 1988, IEEE Trans. Syst. Man Cybern..

[3]  M. Bibbo,et al.  Artificial neural nets as tools for expert systems in objective histopathology , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Stephen W. Looney,et al.  A statistical technique for comparing the accuracies of several classifiers , 1988, Pattern Recognit. Lett..

[5]  M A Musen,et al.  Knowledge Engineering for Clinical Consultation Programs: Modeling the Application Area , 1989, Methods of Information in Medicine.

[6]  Jerzy Józefczyk Determination of optimal recognition algorithms in the two-level system , 1986, Pattern Recognit. Lett..

[7]  Ludmila I. Kuncheva,et al.  Using key features in pattern classification , 1990, Pattern Recognit. Lett..

[8]  A Hart,et al.  Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks. , 1990, Medical informatics = Medecine et informatique.

[9]  E S Gelsema Pattern recognition and artificial intelligence in medical research and clinical practice. , 1989, Methods of information in medicine.

[10]  Moshe Sipper,et al.  Pattern classification using teurons , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[11]  Ian Dennis Longstaff,et al.  A pattern recognition approach to understanding the multi-layer perception , 1987, Pattern Recognit. Lett..

[12]  A. Duhamel,et al.  Comparison of a probabilistic network and an expert system , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .

[14]  Leon Bobrowski,et al.  Design of piecewise linear classifiers from formal neurons by a basis exchange technique , 1991, Pattern Recognit..

[15]  E H Shortliffe,et al.  Testing Reality: The Introduction of Decision-Support Technologies for Physicians , 1989, Methods of Information in Medicine.

[16]  Perry L. Miller The evaluation of artificial intelligence systems in medicine. , 1985 .

[17]  Janet L. Kolodner,et al.  Using Experience in Clinical Problem Solving: Introduction and Framework , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  P. Lachenbruch,et al.  Multiple reading procedures: the performance of diagnostic tests. , 1988, Statistics in medicine.

[19]  L I Kuncheva,et al.  Fuzzy multi-level classifier for medical applications. , 1990, Computers in biology and medicine.

[20]  Donna L. Hudson,et al.  Determination of Testing Efficacy in Carcinoma of the Lung Using a Neural Network Model. , 1988 .

[21]  Bernard Widrow,et al.  Layered neural nets for pattern recognition , 1988, IEEE Trans. Acoust. Speech Signal Process..

[22]  R. Lippmann Pattern classification using neural networks , 1989, IEEE Communications Magazine.

[23]  C. A. Kulikowski,et al.  Artificial intelligence methods and systems for medical consultation , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Jana Zvárová,et al.  Medical decision making : diagnostic strategies and expert systems : proceedings of the IFIP-IMIA International Working Conference on Computer-Aided Medical Decision-Making, Prague, Czechoslovakia, 30 September-4 October 1985 , 1985 .