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Titlebook: Knowledge Representation for Health-Care. Data, Processes and Guidelines; AIME 2009 Workshop K David Riaño,Annette Teije,Mor Peleg Conferen

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书目名称Knowledge Representation for Health-Care. Data, Processes and Guidelines
副标题AIME 2009 Workshop K
编辑David Riaño,Annette Teije,Mor Peleg
视频video
概述conference proceedings
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Knowledge Representation for Health-Care. Data, Processes and Guidelines; AIME 2009 Workshop K David Riaño,Annette Teije,Mor Peleg Conferen
出版日期Conference proceedings 2010
关键词Ontologie; data mining; digital libraries; health care; information systems; interoperability; knowledge a
版次1
doihttps://doi.org/10.1007/978-3-642-11808-1
isbn_softcover978-3-642-11807-4
isbn_ebook978-3-642-11808-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Sharable Appropriateness Criteria in GLIF3 Using Standards and the Knowledge-Data Ontology Mapperper (KDOM) can be used to simplify GELLO expressions. We are aiming to use this approach for computerizing radiology appropriateness criteria and linking them with EMR data from Stanford Hospital. We discuss our initial study to assess whether such computerization would be possible and beneficial.
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Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Geney and to express it in generated texts by mean of linguistic modifiers. These modifiers have been chosen based on a human experiment testing the association between subjective certainty about a proposition and the participants’ way of verbalising it.
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Argumentation about Treatment Efficacylinical trials. For this, we propose a language for encoding, capturing and synthesising knowledge from clinical trials and a framework that allows the construction of arguments from such knowledge. We develop this framework and demonstrate its use on a case study regarding chemotherapy regimens for ovarian cancer.
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