Source:http://linkedlifedata.com/resource/pubmed/id/17275425
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
2007-2-9
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pubmed:abstractText |
In this paper, we reconsider the scientific background for the use of artificial intelligence tools in medicine. A review of some recent significant papers shows that artificial neural networks, the more advanced and effective artificial intelligence technique, can improve the classification accuracy and survival prediction of a number of gastrointestinal diseases. We discuss the 'added value' the use of artificial neural networks-based tools can bring in the field of gastroenterology, both at research and clinical application level, when compared with traditional statistical or clinical-pathological methods.
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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 |
Mar
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pubmed:issn |
1590-8658
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
39
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
278-85
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pubmed:meshHeading |
pubmed-meshheading:17275425-Algorithms,
pubmed-meshheading:17275425-Fuzzy Logic,
pubmed-meshheading:17275425-Gastroenterology,
pubmed-meshheading:17275425-Gastrointestinal Diseases,
pubmed-meshheading:17275425-Humans,
pubmed-meshheading:17275425-Neural Networks (Computer),
pubmed-meshheading:17275425-Prognosis
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pubmed:year |
2007
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pubmed:articleTitle |
International experience on the use of artificial neural networks in gastroenterology.
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pubmed:affiliation |
Bracco Spa Medical Department, Via E Folli 50, 20136 Milan, Italy. enzo.grossi@bracco.com
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pubmed:publicationType |
Journal Article,
Review
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