Publications (3)0 Total impact
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ABSTRACT: This paper presents a framework for designing a decision-support system that addresses these issues. The primary goal of this framework is to allow rapid deployment of complex decision-support systems in a resource-constrained environment with limited administrative support
05/2001;
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ABSTRACT: The time dimension is very important when reasoning with clinical data. Unfortunately, the task of temporal reasoning is inherently computationally expensive. As the problems tackled by clinical decision support systems become more varied, increased demands will be placed on the temporal reasoning component, which may lead to slow response times. This paper addresses this problem. It describes a temporal reasoning system called RASTA that uses a distributed algorithm that enables it to deal with large data sets. The algorithm also supports a variety of configuration options, enabling RASTA to deal with a range of application requirements.
02/2001;
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ABSTRACT: This paper describes an approach for representing uncertain temporal information and reasoning with it, and has shown that this approach can be integrated with a temporal abstraction mechanism. Integrating indeterminacy support with a temporal abstraction mechanism is a novel feature of our system. The resulting system provides a powerful tool for dealing with temporal indeterminacy in clinical databases
02/2001;
