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• W1854440783 abstract "AbstractThe objective of evidence-based medicine is to come to well reasoned and justified clinical decisions regarding an individual patient’s case based on the integration of case-specific knowledge, medical expertise, and the best available clinical evidence. One significant challenge implicated in this pursuit stems from the volume of relevant information that can easily exceed what can reasonably be assessed. Thus intelligent systems that can mine and synthesize vast amounts of information would be invaluable. The reconciliation of such systems with the complexity and subtlety of decision support in medicine requires specialized capabilities. One untapped capability is furnished through the gap in information between what is known and what needs to be known to justify a decision. In this paper, we explore the value of an information gap analysis for robust decision-making in the context of evidence-based medicine with an eye to the potential role in automated evidence-based reasoning systems.Keywordsevidence-based medicinerobust decision makinginformation gap theorydeep question answering systems" @default.
• W1854440783 created "2016-06-24" @default.
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• W1854440783 date "2013-01-01" @default.
• W1854440783 modified "2023-09-26" @default.
• W1854440783 title "Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine" @default.
• W1854440783 cites W1852330046 @default.
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• W1854440783 doi "https://doi.org/10.1007/978-3-642-39712-7_42" @default.
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