Abstract
In the development of an expert computing system, the knowledge acquisition phase, which embodies the organised knowledge of a specialised domain such as Medicine, can be a very expensive and time consuming process. Knowledge acquisition is further complicated by the inability of experts to interpret and formulate explicit rules from their own knowledge and decisionmaking and by the lack of automated rule generation techniques which incorporate the knowledge of the domain for application to computer systems.
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Bibliography
Bratko, I. et al.: Part I: Inventing New Rules, “Automatic Synthesis Of Knowledge: Ljubljana Research.” In: Kodratoff, Y. et al. (eds.): Machine And Human Learning: Advances in European Research. Kogan Page, London, 1989, 2535
Buchanan, B., Shortcliffe, E.H.: “Human Engineering For Medical Expert Systems.” In: Rule Based Expert Systems: The Mycin Experiments Of The Stanford Heuristic Programming Project. Addison Wesley Publishing Company, Inc., Stanford, California, 1984, 599613
Clark, P., Niblett, T.: “Induction In Noisy Domains.” In: Bratko, I. et al. (eds.): Progress In Machine Learning, EWSL ’87, Bled, Yugoslavia. Sigma Press, Wilmslow, Great Britain, 1987, 1131
Cohen, P.R., Feigenbaum, E.A.: (eds.): Section XIV: Learning Inductive Inference, The Handbook Of Artificial Intelligence, Vol. III. William Kaufmann, Inc., Los Altos, California, 1982, 323513
Fitter, M.J., Cruckshank, P.J.: Part II: The Task Interface, “Doctors Using Computer: A Case Study.” In: Sime, M.E., Coombs, M.J.: (eds.): Designing For Human Computer Communication, Academic Press, London, 1983, 239260
Harrison, M.D., Monk, A.F.: (eds.): BCS Workshop Series, People And Computers: Designing For Usability, Proceedings Of The Second BCS Human Computer Interaction Specialist Group. Cambridge University Press, London, 1986 Company, Inc., Stanford, California, 1984, 635653Sweden, 1989
Hovland, A.I: Machine Learning, (unpublished B.Sc work), 1988.
Jackson, P.: Chapter 1 : “Expert Systems And Artificial Intelligence,” Introduction To Expert Systems, AddisonWesley Publishing Company, Inc., Wokingham, Great Britain, 1986
Kangavari, M.R.: The ZEBEL Algorithm, (unpublished PhD. work), 1989
Muggleton, S., Part: Knowledge Induction, “DUCE An Oracle Based Approach To Contructive Induction.” In: Mcdermott J.: (ed.): I.J.C.A.I. ’87, Vol.1 & II, (Milan). Morgan Kaufmann Publishers, Inc., Los Altos, California, 1987
Quinlan, J.R.: Probabilities and Logical Induction Systems, “Discovering Rules by Induction from Large Collections of Examples: A Case Study.” In: Michie, D.: (ed.): Expert Systems in the Micro Electronic Age, Edinburgh University Press, Edinburgh, 1979, 168187
Shortcliffe, E.H.: Part 2: The Task Interface, “Medical Consultation Systems: Designing For Doctors.” In Sime, M.E., Coombs, MJ.:(eds.): Designing For Human Computer Communication, Academic Press, London, 1983, 209237
Spencer, R.H.: Chapter 7: “Evaluating Usability,” Computer Usability Testing And Evaluation, PrenticeHall, Inc., Eagle Wood Cliffs, New Jersey, 1985
Teach, R.I., Shortcliffe, E.H.: Chapter 34: “An Analysis of Physicians Attitudes.” In: Buchanan, B.G., Shortcliffe, E.H.: RuleBased Expert Systems: The Mycin Experiments Of The Stanford Heuristic Programming Project, Addison Wesley Publishing Company, Inc., Stanford, California, 1984, 635653
Vites, N.P. et al.: “Predictive Value of Nuclear Myocardial Imaging in Diabetic Uremics,” XXVth Congress of the European Dialysis and Transplant Association, Madrid, 1988
Vites, N.P. et al.: “ The Evaluation of Cardiovascular Risk in Renal Replacement Populations,” XXVIth Congress of The European Dialysis And Transplant Association, Sweden, 1989
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Cameron, C.A., Conroy, G.V., Kangavari, M.D. (1990). Machine Learning Techniques for Patient and Program Management in Renal Replacement/Transplantation Therapy. In: O’Moore, R., Bengtsson, S., Bryant, J.R., Bryden, J.S. (eds) Medical Informatics Europe ’90. Lecture Notes in Medical Informatics, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51659-7_55
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DOI: https://doi.org/10.1007/978-3-642-51659-7_55
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