Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 109-120 |
| Number of pages | 12 |
| Journal | American Journal of Industrial Medicine |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1991 |
| Externally published | Yes |
Keywords
- artificial intelligence (AI)
- computermethods
- decision support
- expert system
- occupational lung disease
- occupational medicine
- pulmonary disease
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health