Calvin E. Beebe

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The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) will enable the use of the electronic(More)
OBJECTIVE The objective of the Strategic Health IT Advanced Research Project area four (SHARPn) was to develop open-source tools that could be used for the normalization of electronic health record (EHR) data for secondary use--specifically, for high throughput phenotyping. We describe the role of Intermountain Healthcare's Clinical Element Models ([CEMs](More)
Natural language processing, machine learning, and information retrieval theory and applications, including constructing timelines from unstructured text, building information extraction models for health informatics, and automating educational feedback for personalized learning. (2005). " Extracting opinion propositions and opinion holders using syntactic(More)
Machine learning, natural language processing and information retrieval theory and applications, including constructing timelines from unstructured text, characterizing quality in educational webpages, identifying science misconceptions in student essays, learning feature-based models for literature search, and building information extraction models for(More)
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