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A Scalable Architecture for Rule Engine Based Clinical Decision Support Systems
Soumi Chattopadhyay1, Ansuman Banerjee1, Nilanjan Banerjee2
1Indian Statistical Institute, Kolkata, India.
Abstract:
Clinical Decision Support systems (CDSS) have reached a fair level of sophistication and have emerged as the popular system of choice for their aid in clinical decision making. These decision support systems are based on rule engines navigate through a repertoire of clinical rules and multitudes of facts to assist a clinical expert to decide on the set of actuations in response to a medical situation. In this paper, we present the design of a scalable architecture for a rule engine based clinical decision system.
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