| pubmed-article:8947733 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:8947733 | lifeskim:mentions | umls-concept:C1947933 | lld:lifeskim |
| pubmed-article:8947733 | lifeskim:mentions | umls-concept:C1446409 | lld:lifeskim |
| pubmed-article:8947733 | lifeskim:mentions | umls-concept:C2362566 | lld:lifeskim |
| pubmed-article:8947733 | pubmed:dateCreated | 1997-1-28 | lld:pubmed |
| pubmed-article:8947733 | pubmed:abstractText | Improvement in the performance of reminder systems may be facilitated by the use of new representations. A decision-theoretic representation, for example, may enable a reminder system to represent and reason about the probabilities that a reminder will be a true or a false alarm and the relative utilities of these events. We extended a previously described decision-theoretic model to include such events. The model now represents explicitly the uncertainty, costs, and benefits of sending a reminder. We also extended the model to remove an assumption of reminder independence. As a step towards testing a hypothesis that this approach will support better performance than a rule-based approach, we analyzed a set of CARE rules and showed that our representation can represent these rules. | lld:pubmed |
| pubmed-article:8947733 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
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| pubmed-article:8947733 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:8947733 | pubmed:language | eng | lld:pubmed |
| pubmed-article:8947733 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:8947733 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:8947733 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:8947733 | pubmed:issn | 1091-8280 | lld:pubmed |
| pubmed-article:8947733 | pubmed:author | pubmed-author:RodriguezEE | lld:pubmed |
| pubmed-article:8947733 | pubmed:author | pubmed-author:WagnerM MMM | lld:pubmed |
| pubmed-article:8947733 | pubmed:author | pubmed-author:CooperG FGF | lld:pubmed |
| pubmed-article:8947733 | pubmed:author | pubmed-author:OverhageJ MJM | lld:pubmed |
| pubmed-article:8947733 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:8947733 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:8947733 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:8947733 | pubmed:pagination | 582-6 | lld:pubmed |
| pubmed-article:8947733 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:8947733 | pubmed:meshHeading | pubmed-meshheading:8947733-... | lld:pubmed |
| pubmed-article:8947733 | pubmed:meshHeading | pubmed-meshheading:8947733-... | lld:pubmed |
| pubmed-article:8947733 | pubmed:meshHeading | pubmed-meshheading:8947733-... | lld:pubmed |
| pubmed-article:8947733 | pubmed:meshHeading | pubmed-meshheading:8947733-... | lld:pubmed |
| pubmed-article:8947733 | pubmed:year | 1996 | lld:pubmed |
| pubmed-article:8947733 | pubmed:articleTitle | Representing CARE rules in a decision-theoretic formalism. | lld:pubmed |
| pubmed-article:8947733 | pubmed:affiliation | Center for Biomedical Informatics, University of Pittsburgh, USA. | lld:pubmed |
| pubmed-article:8947733 | pubmed:publicationType | Journal Article | lld:pubmed |
