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Therapy Planning as Constraint Satisfaction: A Computer-Based Antiretroviral Therapy Advisor for the Management of HIV

By D. Scott Smith, John Y. Park, Mark A. Musen and Ph. D


this paper, we take a formal approach to modeling the planning task for antiretroviral therapy. We follow a prescribed series of steps, to abstract the general form and properties of the task. Because of the diversity of therapy-planning tasks across domains, we must ask what we can gain by modeling this process explicitly, instead of building a simple rule-based system based on straightforward, unstructured transcriptions of rules elicited from a domain expert. We offer two strong rationales for careful modeling: First, we believe that the resulting systems will be more understandable, robust, and maintainable, and will give higher quality answers than unstructured systems. Second, modeling allows us to recognize commonalities across tasks that enable us to reuse reasoning components, not just across medical specialties, but also across divergent domains, saving development effor

Year: 1998
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