| A fuzzy approach to computer-assisted myocardial ischemia diagnosis. | |
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MedLine Citation:
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PMID: 11154896 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The aim of the project is to introduce and implement in medical practice a fuzzy expert system specialized in the non-invasive diagnosis of myocardial ischemia. The system is able to embed and process medical knowledge independently of the way it is expressed (quantitatively or qualitatively, numerically or linguistically). It implements a novel medical diagnostic technique, has minimal computational requirements, performs an accurate diagnosis, is flexible and user-friendly. It is currently being tested in health care institutions and is used as a tool for different analyses and studies. |
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Authors:
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S Zahan |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Artificial intelligence in medicine Volume: 21 ISSN: 0933-3657 ISO Abbreviation: Artif Intell Med Publication Date: 2001 Jan-Mar |
Date Detail:
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Created Date: 2001-01-26 Completed Date: 2001-05-10 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8915031 Medline TA: Artif Intell Med Country: Netherlands |
Other Details:
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Languages: eng Pagination: 271-5 Citation Subset: IM |
Affiliation:
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Communications Department, Technical University of Cluj-Napoca, 26-28 G. Baritiu St., 3400-, Cluj-Napoca, Romania. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence Diagnosis, Computer-Assisted* Diagnosis, Differential Fuzzy Logic* Humans Myocardial Ischemia / diagnosis* User-Computer Interface |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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