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The knowledge modeling for chronic urticaria assessment in clinical decision support system with PDA
Miyoung Kwak1, Seung Bin Han, Gyochang Kim
1Department of Biomedical Engineering, College of Medicine, Seoul National University, Korea.
Abstract:
The benefits of a clinical information system would be enhanced by a clinical decision support system (CDSS). We have developed urticaria diagnosis knowledge model for clinical practice. In order to construct a more accurate, evidenced-based and comprehensive knowledge base for urticaria, we arranged and integrated knowledge from literatures-based knowledge, as provided by; The Korean Academy of Asthma and Allergy [1], the American Allergy Association based on an algorithm of chronic urticaria assessment. We presented this knowledge in a Boolean cross table frame and implemented these guidelines using the developed CDSS.