A system based on the logical relations between a disease and its associated clinical findings is presented. For each disease, the associated clinical findings are separated into smaller units representing successive degrees of diagnostic certainty and consistent with the sequence in which the findi
The structure of expert diagnostic knowledge in occupational medicine
β Scribed by Philip Harber; J. Michael McCoy; Steven Shimozaki; Phil Coffman; Kevin Bailey
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 709 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0271-3586
No coin nor oath required. For personal study only.
β¦ Synopsis
Development of an artificial intelligence expert system for diagnosing occupational lung disease requires explicit specification of the structure of knowledge necessary in clinical occupational medicine independent of the process by which the knowledge is utilized. Furthermore, explicit recognition of sources of uncertainty is necessary. Seven categories of knowledge define the diagnostic knowledge base in occupational pulmonary medicine. These include four objects (jobs, industries, exposures, and diseases) and three relationships between pairs of objects. This analysis demonstrates some of the unique aspects of occupational medicine expertise.
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