Source:http://linkedlifedata.com/resource/pubmed/id/20566274
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
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| pubmed:dateCreated |
2010-10-1
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| pubmed:abstractText |
This paper reviews a methodology for evolving fuzzy classification which allows data to be processed in online mode by recursively modifying a fuzzy rule base on a per-sample basis from data streams. In addition, it shows how this methodology can be improved and applied to the field of diagnostics, for two popular medical problems.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Oct
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| pubmed:issn |
1873-2860
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| pubmed:author | |
| pubmed:copyrightInfo |
Copyright © 2010 Elsevier B.V. All rights reserved.
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| pubmed:issnType |
Electronic
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| pubmed:volume |
50
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
117-26
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| pubmed:meshHeading | |
| pubmed:year |
2010
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| pubmed:articleTitle |
Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases.
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| pubmed:affiliation |
Decision Sciences Research Group, Manchester Business School East - F25, The University of Manchester, Manchester M15 9EP, United Kingdom. stavros.lekkas@postgrad.mbs.ac.uk
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| pubmed:publicationType |
Journal Article
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