Abstract
An expert system for diagnosis and therapy after lung transplantation has been developed and evaluated by domain experts. The system captures a total of 21 diagnoses encompassing rejection, pulmonary infection, and some diseases of gastrointestinal origin. The disease hypotheses are scored and ranked by their ability to explain the patient findings. A hypothesis is accepted as a candidate disease if it is ranked high on the list and is able to account for the cardinal findings of the disease. The therapy knowledge is captured in the form of rules. The results demonstrate the feasibility of an expert system for diagnosis and therapy after lung transplantation.
Original language | English (US) |
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Pages (from-to) | 477-488 |
Number of pages | 12 |
Journal | Computers in Biology and Medicine |
Volume | 26 |
Issue number | 6 |
DOIs | |
State | Published - Nov 1 1996 |
Keywords
- Artificial intelligence
- Expert systems
- Lung transplantation
- Medical diagnosis
- Temporal case simulation
- Therapy