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Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach

Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach

Luca Anselma, Alessio Bottrighi, Gianpaolo Molino, Stefania Montani, Paolo Terenziani, Mauro Torchio
Copyright: © 2011 |Volume: 1 |Issue: 1 |Pages: 19
ISSN: 2155-6393|EISSN: 2155-6407|EISBN13: 9781613508275|DOI: 10.4018/ijkbo.2011010103
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MLA

Anselma, Luca, et al. "Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach." IJKBO vol.1, no.1 2011: pp.42-60. http://doi.org/10.4018/ijkbo.2011010103

APA

Anselma, L., Bottrighi, A., Molino, G., Montani, S., Terenziani, P., & Torchio, M. (2011). Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach. International Journal of Knowledge-Based Organizations (IJKBO), 1(1), 42-60. http://doi.org/10.4018/ijkbo.2011010103

Chicago

Anselma, Luca, et al. "Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach," International Journal of Knowledge-Based Organizations (IJKBO) 1, no.1: 42-60. http://doi.org/10.4018/ijkbo.2011010103

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Abstract

Knowledge-based clinical decision making is one of the most challenging activities of physicians. Clinical Practice Guidelines are commonly recognized as a useful tool to help physicians in such activities by encoding the indications provided by evidence-based medicine. Computer-based approaches can provide useful facilities to put guidelines into practice and to support physicians in decision-making. Specifically, GLARE (GuideLine Acquisition, Representation and Execution) is a domain-independent prototypical tool providing advanced Artificial Intelligence techniques to support medical decision making, including what-if analysis, temporal reasoning, and decision theory analysis. The paper describes such facilities considering a real-world running example and focusing on the treatment of therapeutic decisions.

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