Abstract
Design of a computer-based assistant for patient data bases is discussed. A conceptual model for such an assistant, which can represent signs, symptoms, lab data, and radiological and morphological findings is described. The query language, interpretive reports, summary findings, and related issues in providing intelligent consultation are discussed. The role of such assistants in the context of a decision-making environment—human or automated—is emphasized.
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References
Collen, M. (ed.),Hospital Computer Systems. Wiley, New York, 1974.
Mittal, S., Chandrasekaran, B., and Smith, J., Overview of MDX — a system for medical diagnosis.Proceedings of the Third Annual IEEE Symposium on Computer Application in Medical Care, Washington, D.C., October 14–17, 1979.
Shortliffe, E.,Computer-based Medical Consultation: MYCIN. Elsevier, New York, 1976.
Weiss, S., and Kulikowski, C. A., EXPERT: A system for developing consultation models.Proceedings of the Sixth International Joint Conference on Artificial Intelligence, Tokyo, August 20–23, 1979.
Weiss, S., Kulikowski, C. A., Amarel, S., and Safir, A., A model-based method for computer-aided medical decision-making.Artif. Intell. 2:145–172, 1978.
Pauker, S., Gorry, G. A., Kassirer, J., and Schwartz, W., Toward the simulation of clinical cognition. Taking a present illness by computer.J. Am. Med. Assoc. 60:981–995, 1976.
Yeh, R. T., Roussopoulos, N., and Chang, P., Data Base Design — An Approach and Some Issues. Department of Computer Science, University of Texas at Austin, Tech. Report SDBEG-4, March 1974.
Codd, E. F., Seven steps to rendezvous with a causal user.Data Base Management (J. W. Klimbie and K. L. Koffeman, eds.), North-Holland, New York, 1974.
Mittal, S., Design of a distributed medical diagnosis and data base system. Doctoral dissertation, Department of Computer and Information Science, The Ohio State University, 1980.
Wong, H. K. T., and Mylopoulos, J., Two views of data semantics: A survey of data models in artificial intelligence and data base management.INFOR 15 (3), Canada, 1977.
Smith, J. M., and Smith, D. C. P., Data base abstraction.CACM 10 (6), 1977.
Roussopoulos, N., CSDL: A conceptual schema definition language for the design of data base applications,IEEE Trans. Software Eng. 5(5):481–496, 1979.
Minsky, M., A framework for representing knowledge.The Psychology of Computer Vision (P. H. Winston, ed.), McGraw-Hill, New York, 1976.
Winograd, T., and Bobrow, D. G., An overview of KRL: A knowledge representation language.Cognitive Sci. 1(1), 1977.
Brachman, R. J., A structural paradigm for representing knowledge. Doctoral dissertation, Division of Engineering and Applied Sciences, Harvard University, 1977.
Chandraserkaran, B., Gomez, F., Mittal, S., and Smith, J., An approach to medical diagnosis based on conceptual structures. InProceedings of the Sixth International Joint Conference on Artificial Intelligence, Tokyo, August 20–23, 1979.
Roberts, R. G., and Goldstein, I. P., The FRL manual. M.I.T., AI Memo 409, September 1977.
Mittal, S., Smith, J., and Chandrasekaran, B., RADEX—towards a computer-based radiology consultant.Pattern Recognition in Practice (E. S. Gelsema and L. N. Kanal, eds.), North-Holland, Amsterdam, 1980.
Speicher, C. E., Survey of interpretive reporting in clinical pathology. Department of Pathology, The Ohio State University, 1978.
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An earlier version of this paper was published inProceedings of the 13th Annual Hawaii International Conference of System Sciences, Vol. 3, 1980, by Western Periodicals Co., North Hollywood, Calif.
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Mittal, S., Chandrasekaran, B. Conceptual representation of patient data bases. J Med Syst 4, 169–185 (1980). https://doi.org/10.1007/BF02222462
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DOI: https://doi.org/10.1007/BF02222462