Source:http://linkedlifedata.com/resource/pubmed/id/20543343
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2010-6-14
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pubmed:abstractText |
The A Coruña University Hospital Complex is developing an expert system to improve the decision support for transplanted patients. The system will access the data collected during the monitoring of patients and generate a database of statistics that will aid health professionals in several stages of the transplant process. All historical data will be revised to give an estimation of the patient's parameters evolution depending on his medical record and his actual treatment. We will use two different machine learning techniques to do both clustering and classification.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
T
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pubmed:status |
MEDLINE
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pubmed:issn |
0926-9630
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
156
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
81-8
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pubmed:meshHeading |
pubmed-meshheading:20543343-Artificial Intelligence,
pubmed-meshheading:20543343-Comorbidity,
pubmed-meshheading:20543343-Decision Support Systems, Clinical,
pubmed-meshheading:20543343-Humans,
pubmed-meshheading:20543343-Monitoring, Physiologic,
pubmed-meshheading:20543343-Spain,
pubmed-meshheading:20543343-Transplantation,
pubmed-meshheading:20543343-User-Computer Interface
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pubmed:year |
2010
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pubmed:articleTitle |
Co-morbidity analysis and decision support on transplanted patients using machine learning techniques.
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pubmed:affiliation |
R&D&I, Information Technology Department, A Coruña University Hospital Complex, Spain. Gerardo.Iago.Corbal.RamoN@sergas.es
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pubmed:publicationType |
Journal Article
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