Predicate calculus, artificial intelligence, and workers' compensation

Details

• Personal Author:
  Harber P ; McCoy JM
• Description:
  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. [Description provided by NIOSH]
• Subjects:
  Diagnosis Lung Occupational Health Respiratory System Respiratory Tract Diseases Safety Software
• Keywords:
  Analytical-models Clinical-diagnosis Computer-models Information-processing Lung-fibrosis NIOSH-Grant NIOSH-Publication Occupational-respiratory-disease Pulmonary-system-disorders
• ISSN:
  0096-1736
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  484-489
• Volume:
  31
• Issue:
  5
• NIOSHTIC Number:
  nn:00189176
• Citation:
  J Occup Med 1989 May; 31(5):484-489
• Contact Point Address:
  Dr Harber, Department of Medicine, University of California, Los Angeles and the University of California Southern Occupational Health Center, Los Angeles, CA 90024
• Federal Fiscal Year:
  1989
• NORA Priority Area:
  Pulmonary System Disorders
• Performing Organization:
  University of California Los Angeles, Los Angeles, California
• Peer Reviewed:
  True
• Start Date:
  19870501
• Source Full Name:
  Journal of Occupational Medicine
• End Date:
  19930630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a4cdd51bc8ef2049c82beac90858527480bd26908f342844b0c036c7d482e5d82775b708933ca1f54d77a4a7a0fd4d3ef6b4b6737938663dba319d7f889de09b
• Download URL:
  https://stacks.cdc.gov/view/cdc/205385/cdc_205385_DS1.pdf
• File Type:
  [PDF - 395.39 KB ]