Document Detail


The Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences of the University of Vienna Medical School.
MedLine Citation:
PMID:  11154878     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences pursues methodological research in and practical development of knowledge-based computer systems to assist in the decision-making processes for all areas of medical application. Vagueness of medical terms, uncertainty in the co-occurrence of medical entities, and incompleteness in medical theories are well-known characteristics of medical knowledge and ought to be considered in practically-used medical knowledge-based systems. We found that fuzzy set theory and fuzzy logic are powerful theories that model the above-mentioned characteristics. Fuzzy set theory and fuzzy logic were applied in the following systems: CADIAG-II and MedFrame/CADIAG-IV, FuzzyARDS, and FuzzyKBWean. CADIAG-II and MedFrame/CADIAG-IV are framework programs for consultation systems to aid in the differential diagnostic process in internal medicine. FuzzyARDS is an intelligent on-line monitoring program of data from patients with acute respiratory distress syndrome (ARDS) at an intensive care unit (ICU). It employs fuzzy trend detection and fuzzy automata. FuzzyKBWean is an open-loop fuzzy control program for optimization and quality control of the ventilation and weaning process of patients after cardiac surgery at the ICU. The above-mentioned computer systems have reached the state of extensive clinical integration and testing at the Vienna General Hospital. The obtained results show the applicability and usefulness of these systems.
Authors:
K Adlassnig
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Artificial intelligence in medicine     Volume:  21     ISSN:  0933-3657     ISO Abbreviation:  Artif Intell Med     Publication Date:    2001 Jan-Mar
Date Detail:
Created Date:  2001-01-26     Completed Date:  2001-05-10     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8915031     Medline TA:  Artif Intell Med     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  139-46     Citation Subset:  IM    
Affiliation:
Department of Medical Computer Sciences, Section on Medical Expert and Knowledge-Based Systems, Spitalgasse 23, A-1090, Vienna, Austria. kpa@akh-wien.ac.at
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence*
Curriculum
Decision Making, Computer-Assisted*
Diagnosis, Differential
Fuzzy Logic*
Germany
Humans
Intensive Care Units
Internal Medicine
Medical Informatics*
Respiratory Distress Syndrome, Adult
Schools, Medical*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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