An expert system for diagnosis and therapy in: Lung transplantation

Badri N. Prasad, Stanley Finkelstein M, Marshall Hertz I

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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 languageEnglish (US)
Pages (from-to)477-488
Number of pages12
JournalComputers in Biology and Medicine
Volume26
Issue number6
DOIs
StatePublished - Nov 1 1996

Keywords

  • Artificial intelligence
  • Expert systems
  • Lung transplantation
  • Medical diagnosis
  • Temporal case simulation
  • Therapy

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