Computational intelligent diagnostics systems in medicine

A literature search over the last few years has shown that there has been a steady increase in publications on computer-based medical diagnostic applications, ranging from diagnostic aids for the physician or hospital staff, to systems issuing a complete diagnosis to experts or even to patients. Computer-based methods have been applied in so many medical specializations to assist the human expert, enhance one's senses and skills, or automate procedures, that an enumeration seems no longer adequate. This paper concentrates first on clarifying the terminology of computational intelligence (CI), presents the chronological development of CI systems using the example of Cyprus and investigates the overall significance of CI systems by visualizing the results of an extensive literature search in a medical database.

[1]  Constantinos S. Pattichis,et al.  Neural network models in EMG diagnosis , 1995 .

[2]  W. Rogers,et al.  Computer-aided medical diagnosis: literature review. , 1979, International journal of bio-medical computing.

[3]  Constantinos S. Pattichis,et al.  Qualitative morphological analysis of muscle biopsies using neural networks , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[4]  C S Pattichis,et al.  Learning systems in biosignal analysis. , 1997, Bio Systems.

[5]  James C. Bezdek,et al.  On the relationship between neural networks, pattern recognition and intelligence , 1992, Int. J. Approx. Reason..

[6]  James A. Reggia,et al.  Neural computation in medicine , 1993, Artif. Intell. Medicine.

[7]  Y Reisman,et al.  Computer-based clinical decision aids. A review of methods and assessment of systems. , 1996, Medical informatics = Medecine et informatique.

[8]  Constantinos S. Pattichis,et al.  Genetics-based machine learning for the assessment of certain neuromuscular disorders , 1996, IEEE Trans. Neural Networks.

[9]  F Schnorrenberg,et al.  Computer-aided classification of breast cancer nuclei. , 1996, Technology and health care : official journal of the European Society for Engineering and Medicine.

[10]  F T de Dombal,et al.  Assigning Value to Clinical Information – A Major Limiting Factor in the Implementation of Decision-Support Systems , 1996, Methods of Information in Medicine.

[11]  William Nick Street,et al.  Breast Cancer Diagnosis and Prognosis Via Linear Programming , 1995, Oper. Res..

[12]  L J Shuman,et al.  An emergency department simulation and a neural network metamodel. , 1997, Journal of the Society for Health Systems.

[13]  C S Pattichis,et al.  Medical diagnostic systems: a case for neural networks. , 1994, Technology and health care : official journal of the European Society for Engineering and Medicine.

[14]  B Kleinmuntz,et al.  Diagnostic problem solving by computer: a historical review and the current state of the science. , 1984, Computers in biology and medicine.

[15]  Constantinos S. Pattichis,et al.  Neural networks, genetic algorithms and the K-means algorithm: in search of data classification , 1992, [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks.

[16]  Peter Russell,et al.  Computerized Consensus Diagnosis: A Classification Strategy for the Robust Analysis of MR Spectra. I. Application to 1H Spectra of Thyroid Neoplasms , 1995, Magnetic resonance in medicine.

[17]  C.S. Pattichis,et al.  Artificial neural nets in computer-aided macro motor unit potential classification , 1990, IEEE Engineering in Medicine and Biology Magazine.

[18]  J E Bellamy Medical diagnosis, diagnostic spaces, and fuzzy systems. , 1997, Journal of the American Veterinary Medical Association.

[19]  B D Leão,et al.  Hycones: a hybrid approach to designing decision support systems. , 1996, M.D. computing : computers in medical practice.