|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
2
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pubmed:dateCreated |
2008-3-13
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pubmed:abstractText |
In this study, we evaluated the internal validity of EPICON, an application for grouping ICPC-coded diagnoses from electronic medical records into episodes of care. These episodes are used to estimate morbidity rates in general practice.
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pubmed:language |
eng
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pubmed:journal |
|
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
0026-1270
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pubmed:author |
|
|
pubmed:issnType |
Print
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pubmed:volume |
47
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|
pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
98-106
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pubmed:meshHeading |
pubmed-meshheading:18338080-Artificial Intelligence,
pubmed-meshheading:18338080-Family Practice,
pubmed-meshheading:18338080-Humans,
pubmed-meshheading:18338080-Incidence,
pubmed-meshheading:18338080-International Classification of Diseases,
pubmed-meshheading:18338080-Medical Records Systems, Computerized,
pubmed-meshheading:18338080-Morbidity,
pubmed-meshheading:18338080-Netherlands,
pubmed-meshheading:18338080-Population Surveillance,
pubmed-meshheading:18338080-Prevalence,
pubmed-meshheading:18338080-Reproducibility of Results
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|
pubmed:year |
2008
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|
pubmed:articleTitle |
Estimating morbidity rates from electronic medical records in general practice. Evaluation of a grouping system.
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|
pubmed:affiliation |
Department of Medical Informatics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. m.biermans@mi.umcn.nl
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pubmed:publicationType |
Journal Article,
Comparative Study,
Validation Studies
|
