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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=decision+support">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=decision+support]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for decision support]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/444/Text-and-ontology-driven-medical-decision-support-systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/418/Masters-Thesis-Research-Update-Aniket-Bochare-and-Rohit-Kugaonkar"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/651/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/281/A-Bayesian-network-based-framework-for-multi-criteria-decision-making"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/198/Exploring-Trading-Dynamics-in-a-Derivative-Securities-Market-of-Heterogeneous-Agents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/440/Structured-speech-input-for-clinical-data-collection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1129/Artificial-Intelligence-for-Electronic-Commerce"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[This thesis discusses our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide...]]></description>
  <dc:date>2013-04-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/444/Text-and-ontology-driven-medical-decision-support-systems">
  <title><![CDATA[Text and ontology driven medical decision support systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/444/Text-and-ontology-driven-medical-decision-support-systems</link>
  <description><![CDATA[In this week's lab meeting Deepal Dhariwal will discuss related work in the domain of text and ontology driven medical decision support systems and information extraction from clinical texts.]]></description>
  <dc:date>2013-02-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/418/Masters-Thesis-Research-Update-Aniket-Bochare-and-Rohit-Kugaonkar">
  <title><![CDATA[Masters Thesis Research Update: Aniket Bochare and Rohit Kugaonkar]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/418/Masters-Thesis-Research-Update-Aniket-Bochare-and-Rohit-Kugaonkar</link>
  <description><![CDATA[In this week's lab meeting we will have Aniket Bochare and 
Rohit Kugaonkar from the MC2 lab will talk about the research they will be pursuing for their Masters Thesis and will update us on the progress they have been making. 

Aniket Bochare will present "Supervised Learning Techniques for Predicting risk of Breast Cancer using Genetic Information"

Abstract: Breast cancer is the most common type of cancer and cause of highest number of deaths in women. Today’s world the treatment is...]]></description>
  <dc:date>2011-11-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2012-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes">
  <title><![CDATA[A Semantically Rich Cognitive Search Assistant For Clinical Notes]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes</link>
  <description><![CDATA[There are many use cases in the medical industry and in research that require clinical information extraction from the narrative notes in electronic medical records. Significant advances have been made in recent years from using clinical text processing systems which rely heavily on the natural language processing pipeline of sentence segmentation, tokenization, part-of-speech tagging, and dependency parsing.  This approach relies on the text conforming to the rules of grammar in order fo...]]></description>
  <dc:date>2017-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/651/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/651/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this paper, we discuss our ongoing research in the domain of text and ontology driven clinical decision support 
system. The proposed framework uses text analytics to extract clinical entities from electronic health records and 
semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules 
expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the 
patient. The KB is then querie...]]></description>
  <dc:date>2013-10-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/281/A-Bayesian-network-based-framework-for-multi-criteria-decision-making">
  <title><![CDATA[A Bayesian network based framework for multi-criteria decision making]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/281/A-Bayesian-network-based-framework-for-multi-criteria-decision-making</link>
  <description><![CDATA[Multi-Criteria Decision Making (MCDM) involves the selection of
the best actions from a set of alternatives, each of which is
evaluated against multiple, and often conflicting, criteria. Most
of the existing MCDM methods only focus on decisions under
certainty. The criteria were evaluated separately as if they were
independent of each other. Complex, often uncertain interactions
between criteria, and between criteria and other factors are not
modeled in a coherent and systematic manner...]]></description>
  <dc:date>2004-08-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/198/Exploring-Trading-Dynamics-in-a-Derivative-Securities-Market-of-Heterogeneous-Agents">
  <title><![CDATA[Exploring Trading Dynamics in a Derivative Securities Market of Heterogeneous Agents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/198/Exploring-Trading-Dynamics-in-a-Derivative-Securities-Market-of-Heterogeneous-Agents</link>
  <description><![CDATA[A fundamental question that arises in derivative research is why
investors trade at a specified price. We developed a model that
explicitly incorporates a motivation to trade into the mathematical
model describing the investment problem. This motivation
lies in investors' pre-existing liabilities. By showing the equivalence,
via a duality argument, of portfolio optimization and
derivatives pricing operator (measure) calibration, we are also able
to explore (using the same model) deriva...]]></description>
  <dc:date>2003-12-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/440/Structured-speech-input-for-clinical-data-collection">
  <title><![CDATA[Structured speech input for clinical data collection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/440/Structured-speech-input-for-clinical-data-collection</link>
  <description><![CDATA[This paper presents an environment for collecting clinical data using structured speech input. The system uses nomenclature terms and data consistency rules to limit the speech input to a discrete set of phrases which can be configured to support a wide range of studies. This information is stored in an event-oriented data model as strongly typed observations for subsequent distribution and data analysis. The use of speech input should result in increased efficiency during hands-busy data col...]]></description>
  <dc:date>2002-06-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1129/Artificial-Intelligence-for-Electronic-Commerce">
  <title><![CDATA[Artificial Intelligence for Electronic Commerce]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1129/Artificial-Intelligence-for-Electronic-Commerce</link>
  <description><![CDATA[Artificial Intelligence for Electronic Commerce; 
papers from the AAAI Workshop

Tim Finin and Benjamin Grosof, Cochairs, AAAI Technical Report WS-99-01, 143 pp.

ISBN 1-57735-085-5



Electronic commerce is the buying and selling of goods and services in cyberspace. Already a multi-billion-dollar segment of the world economy, it is a fast-growing and exciting field. This workshop addressed the challenges, opportunities, practical applications, and theoretical aspects of using AI in ...]]></description>
  <dc:date>1999-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2013-05-31</dc:date>
 </item>
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