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Models and knowledge acquisition: a workshop proposal

Models and knowledge acquisition: a workshop proposal StGBIO Newsletter page 19 To refine the hypothesis "machine learning techniques" is replaced by "knowledge acquisition techniques for medical expert systems". To contribute to the investigation of the above hypothesis. Zeigler and Rada are arranging a workshop of approximately 12 people. The participants have backgrounds either in modeling or AI. From the modeling side come precise definitions of a model, what components of a model are important for what purposes, and what measures can one use to assess the efficacy of a model. The AI side presents features of particular model-based, knowledge-acquiring, medical expert systems. From the AI side, Rada, KulikowkL Swartout. and Wilkins have indicated an interest in joining the workshop. Rada ('83) has applied a continuity measure to weight adjustment on probabilistic, rule-based expert systems. This has lead to the successful References Siget. C. Laska. E. Fischer. S (1981)"Multi-State Information Drug Exception System" Proc Comp Applic Medical Care Chang, M, Galipo F. Hood. iV], Dickie, K (1981) "Automated Pharmacy Patient Medication Exception Systems" Proc Comp App/ic Medical Care ARTIFICIAL INTELLIGENCE IN MEDICINE MODELS AND KNOWLEDGE ACQUISITION: A WORKSHOP PROPOSAL Roy Rada INewsletter Editor) Artificial Intelligence (AI) can be defined as the field that looks for efficient http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGBIO Newsletter Association for Computing Machinery

Models and knowledge acquisition: a workshop proposal

ACM SIGBIO Newsletter , Volume 6 (4) – Mar 1, 1984

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References (3)

Publisher
Association for Computing Machinery
Copyright
Copyright © 1984 by ACM Inc.
ISSN
0163-5697
DOI
10.1145/992237.992253
Publisher site
See Article on Publisher Site

Abstract

StGBIO Newsletter page 19 To refine the hypothesis "machine learning techniques" is replaced by "knowledge acquisition techniques for medical expert systems". To contribute to the investigation of the above hypothesis. Zeigler and Rada are arranging a workshop of approximately 12 people. The participants have backgrounds either in modeling or AI. From the modeling side come precise definitions of a model, what components of a model are important for what purposes, and what measures can one use to assess the efficacy of a model. The AI side presents features of particular model-based, knowledge-acquiring, medical expert systems. From the AI side, Rada, KulikowkL Swartout. and Wilkins have indicated an interest in joining the workshop. Rada ('83) has applied a continuity measure to weight adjustment on probabilistic, rule-based expert systems. This has lead to the successful References Siget. C. Laska. E. Fischer. S (1981)"Multi-State Information Drug Exception System" Proc Comp Applic Medical Care Chang, M, Galipo F. Hood. iV], Dickie, K (1981) "Automated Pharmacy Patient Medication Exception Systems" Proc Comp App/ic Medical Care ARTIFICIAL INTELLIGENCE IN MEDICINE MODELS AND KNOWLEDGE ACQUISITION: A WORKSHOP PROPOSAL Roy Rada INewsletter Editor) Artificial Intelligence (AI) can be defined as the field that looks for efficient

Journal

ACM SIGBIO NewsletterAssociation for Computing Machinery

Published: Mar 1, 1984

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