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Predicate calculus, artificial intelligence, and workers' compensation.

Authors
Harber-P; McCoy-JM
Source
J Occup Med 1989 May; 31(5):484-489
NIOSHTIC No.
00189176
Abstract
An expert system to assist practitioners in recognizing occupational pulmonary interstitial disease was presented as a model to evaluate the utility of predicate calculus, fuzzy set theory, and artificial intelligence in clinical decision making. The sources of clinical uncertainty include competing causation, or attributable risk; the uncertainty inherent in a clause or group of clauses of a predicate; the degree of certainty of the entire rule, rather than of a particular clause; and the need to combine certainties to obtain an overall confidence factor. Uncertainty can be addressed by predicate calculus, fuzzy set theory, and the search procedures used in artificial intelligence. One such procedure, backward chaining, requires the specification of a goal, which is validated by the knowledge base and rule representation of the expert system. The other procedure, forward chaining, is driven by data input to the system, inferring from that data an appropriate set of implications. Although both are valid, these inferential procedures are not equivalent, and may lead to different conclusions. The authors conclude that predicate calculus, fuzzy set theory, and artificial intelligence techniques are useful in assisting with clinical diagnosis, in creating a sense of the diagnostic process, and in resolving conflicts between competent diagnosticians.
Keywords
JOCMA7; NIOSH-Publication; NIOSH-Grant; Analytical-models; Clinical-diagnosis; Computer-models; Information-processing; Lung-fibrosis; Occupational-respiratory-disease; Pulmonary-system-disorders
Contact
Medicine University of California 405 Hilgard Avenue Los Angeles, CA 90024
CODEN
JOCMA7
Publication Date
19890501
Document Type
Journal Article
Funding Amount
248018.00
Funding Type
Grant
Fiscal Year
1989
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-02288
Issue of Publication
5
ISSN
0096-1736
Priority Area
Pulmonary-system-disorders
Source Name
Journal of Occupational Medicine
State
CA
Performing Organization
University of California Los Angeles, Los Angeles, California
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