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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Exploiting multi-modal reasoning for knowledge management and decision support: an evaluation study.</title>
<author><name sortKey="Montani, S" sort="Montani, S" uniqKey="Montani S" first="S." last="Montani">S. Montani</name>
</author>
<author><name sortKey="Bellazzi, R" sort="Bellazzi, R" uniqKey="Bellazzi R" first="R." last="Bellazzi">R. Bellazzi</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">11079951</idno>
<idno type="pmc">2243766</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2243766</idno>
<idno type="RBID">PMC:2243766</idno>
<date when="2000">2000</date>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Exploiting multi-modal reasoning for knowledge management and decision support: an evaluation study.</title>
<author><name sortKey="Montani, S" sort="Montani, S" uniqKey="Montani S" first="S." last="Montani">S. Montani</name>
</author>
<author><name sortKey="Bellazzi, R" sort="Bellazzi, R" uniqKey="Bellazzi R" first="R." last="Bellazzi">R. Bellazzi</name>
</author>
</analytic>
<series><title level="j">Proceedings of the AMIA Symposium</title>
<idno type="ISSN">1531-605X</idno>
<imprint><date when="2000">2000</date>
</imprint>
</series>
</biblStruct>
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<profileDesc><textClass></textClass>
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<front><div type="abstract" xml:lang="en"><p>We present the first evaluation results of a knowledge management and decision support system for Type I diabetes patients' care. Such system, meant to help physicians in therapy revision, relies on the integration of Rule Based Reasoning and Case Based Reasoning, and exploits both explicit and implicit knowledge. Reliability was positively judged by a group of expert diabetologists; an increase in its performances is foreseen as new knowledge will be acquired, through the system usage in clinical practice.</p>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Proc AMIA Symp</journal-id>
<journal-id journal-id-type="pmc">procamiasymp</journal-id>
<journal-title>Proceedings of the AMIA Symposium</journal-title>
<issn pub-type="ppub">1531-605X</issn>
<publisher><publisher-name>American Medical Informatics Association</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">11079951</article-id>
<article-id pub-id-type="pmc">2243766</article-id>
<article-id pub-id-type="pii">D200284</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Exploiting multi-modal reasoning for knowledge management and decision support: an evaluation study.</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Montani</surname>
<given-names>S.</given-names>
</name>
</contrib>
<contrib contrib-type="author"><name><surname>Bellazzi</surname>
<given-names>R.</given-names>
</name>
</contrib>
</contrib-group>
<aff>Dipartimento di Informatica e Sistemistica, Università di Pavia.</aff>
<pub-date pub-type="ppub"><year>2000</year>
</pub-date>
<fpage>585</fpage>
<lpage>589</lpage>
<abstract><p>We present the first evaluation results of a knowledge management and decision support system for Type I diabetes patients' care. Such system, meant to help physicians in therapy revision, relies on the integration of Rule Based Reasoning and Case Based Reasoning, and exploits both explicit and implicit knowledge. Reliability was positively judged by a group of expert diabetologists; an increase in its performances is foreseen as new knowledge will be acquired, through the system usage in clinical practice.</p>
</abstract>
</article-meta>
</front>
</pmc>
</record>
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