2012 WatsonBeyondJeopardy
- (Ferrucci, Levas et al., 2012) ⇒ David Ferrucci, Anthony Levas, Sugato Bagchi, David Gondek, and Erik Mueller. (2012). “Watson: Beyond Jeopardy.” Artificial Intelligence (August 2012). doi:10.1016/j.artint.2012.06.009
Subject Headings: Watson System; Clinical Support System
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Abstract
This paper presents a vision for applying the Watson technology to health care and describes the steps needed to adapt and improve performance in a new domain. Specifically, it elaborates upon a vision for an evidence-based clinical decision support system, based on the DeepQA technology, that affords exploration of a broad range of hypotheses and their associated evidence, as well as uncovers missing information that can be used in mixed-initiative dialog. It describes the research challenges, the adaptation approach, and finally reports results on the first steps we have taken toward this goal.
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Review of Medical Diagnostic Systems
Diagnosis systems can be classified into systems that use structured knowledge, systems that use unstructured knowledge, and systems that use clinical decision formulas, rules, trees, or algorithms.
- Diagnosis Systems using Structured Knowledge
The earliest diagnosis systems used structured knowledge or classical, manually constructed knowledge bases. The Internist-I system developed in the 1970s used disease-finding relations and disease-disease relations, with associated numbers such as sensitivity
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the fraction of patients with a disease who have a finding [24]. The MYCIN system for [[diagnosing infectious diseases]], also developed in the 1970s, used structured knowledge in the form of production rules stating that, if certain facts are true, then one can conclude certain other …
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2012 WatsonBeyondJeopardy | David Ferrucci Anthony Levas Sugato Bagchi David Gondek Erik Mueller | Watson: Beyond Jeopardy | 10.1016/j.artint.2012.06.009 | 2012 |