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An expert system for diagnosis and therapy in lung transplantation |
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| Authors: | Badri N. Prasad Stanley M. Finkelstein Marshall I. Hertz |
| Affiliation: | a Program in Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA b Program in Biomedical Engineering University of Minnesota, Minneapolis, MN 55455, USA c Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA d Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA |
| 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. |
| Keywords: | Lung transplantation Expert systems Artificial intelligence Medical diagnosis therapy Temporal case simulation |
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