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Cited by 305

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Knowledge engineering for medical decision making: A review of computer-based clinical decision aids

Shortliffe, E.H., Buchanan, B.G., Feigenbaum, E.A.·1979·Proceedings of the IEEE
DOI 10.1109/proc.1979.11436
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Abstract

Computer-based models of medical decision making account for a large portion of clinical computing efforts. This article reviews representative examples from each of several major medical computing paradigms. These include 1) clinical algorithms, 2) clinical databanks that include analytic functions, 3) mathematical models of physical processes, 4) pattern recognition, 5) Bayesian statistics, 6) decision analysis, and 7) symbolic reasoning or artificial intelligence. Because the techniques used in the various systems cannot be examined exhaustively, the case studies in each category are used as a basis for studying general strengths and limitations. It is noted that no one method is best for all applications. However, emphasis is given to the limitations of early work that have made artificial intelligence techniques and knowledge engineering research particularly attractive. We stress that considerable basic research in medical computing remains to be done and that powerful new approaches may lie in the melding of two or more established techniques.

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Metadata

Authors
Shortliffe, E. H., Buchanan, B. G., & Feigenbaum, E. A.
Venue
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1979
Volume
67
Issue
9
Pages
1207-1224
ISSN
0018-9219 (ISSN-L)
DOI
10.1109/proc.1979.11436
OpenAlex
W2172131625
Cited by
305
References
75
FWCI
15.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Knowledge engineering for medical decision making: A review of computer-based clinical decision aids. https://app.cochat.ai/papers/10.1109/proc.1979.11436
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Shortliffe, E. H., Buchanan, B. G., & Feigenbaum, E. A. (1979). Knowledge engineering for medical decision making: A review of computer-based clinical decision aids. Proceedings of the IEEE. https://doi.org/10.1109/proc.1979.11436

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.