Abstract
Computer consultation systems that incorporate the knowledge and experience of expert clinicians can be flexible and useful tools for providing advice on complex cases of disease. When linked to a data base of representative cases in a specialty they become powerful tools for clinical research while also serving as instruments for health care and medical teaching. Computer systems that can reason explicitly with realistically complex structures of hypotheses, while providing explanations of their reasoning, are a recent development within artificial intelligence in medicine. The construction of knowledge bases for these systems presents difficult problems because of the heterogeneity and complexity of medical knowledge. Differences of judgment among experts present further complications. This paper describes the development of a consultation system (CASNET/GLAUCOMA that has reached a high level of clinical proficiency in providing advice on the diagnosis and management of difficult glaucoma cases. The description is used to highlight some of the problems that can arise in building a knowledge-based system.
| Original language | American English |
|---|---|
| Pages | 70-74 |
| Number of pages | 5 |
| State | Published - 1977 |
| Event | Proc $—$ Annu Symp on Comput Appl in Med Care, 1st - Washington, DC, USA Duration: Oct 3 1977 → Oct 5 1977 |
Other
| Other | Proc $—$ Annu Symp on Comput Appl in Med Care, 1st |
|---|---|
| City | Washington, DC, USA |
| Period | 10/3/77 → 10/5/77 |
ASJC Scopus subject areas
- General Engineering