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Supporting Knowledge-Based Decision Making in the Medical Context
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Author(s): Luca Anselma (Università di Torino, Torino, Italy), Alessio Bottrighi (Università del Piemonte Orientale , Alessandria, Italy), Gianpaolo Molino (AOU San Giovanni Battista, Torino, Italy), Stefania Montani (Università del Piemonte Orientale, Alessandria, Italy), Paolo Terenziani (Università del Piemonte Orientale, Alessandria, Italy)and Mauro Torchio (AOU San Giovanni Battista, Torino, Italy)
Copyright: 2011
Pages: 17
Source title:
Clinical Technologies: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-60960-561-2.ch608
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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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