Source:http://linkedlifedata.com/resource/pubmed/id/11767220
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
2001-12-19
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pubmed:abstractText |
Artificial intelligence is an area where computer systems are used to solve real-life problems that require expert human intelligence. Expert systems serve as an effective alternative to supplement the dearth of human experts in a narrow domain of applications. We developed an expert system named SEIZ using DIAGNOS (an expert system shell for diagnostic applications) for the diagnosis and management of epilepsy.
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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:issn |
0970-258X
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
14
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
274-6
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pubmed:dateRevised |
2009-7-30
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pubmed:meshHeading |
pubmed-meshheading:11767220-Adult,
pubmed-meshheading:11767220-Algorithms,
pubmed-meshheading:11767220-Artificial Intelligence,
pubmed-meshheading:11767220-Epilepsy,
pubmed-meshheading:11767220-Female,
pubmed-meshheading:11767220-Humans,
pubmed-meshheading:11767220-Male,
pubmed-meshheading:11767220-Sensitivity and Specificity
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pubmed:articleTitle |
An expert system for the diagnosis of epilepsy: results of a clinical trial.
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pubmed:affiliation |
Department of Biostatistics, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram 695011, Kerala, India. sanjeev@sctimst.ker.nic.in
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pubmed:publicationType |
Journal Article,
Clinical Trial
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