title: The knowledge modeling for chronic urticaria assessment in clinical decision support system with PDA.
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.
authors.affiliation: Department of Biomedical Engineering, College of Medicine, Seoul National University, Korea.
authors.forename: Miyoung
authors.initials: M
authors.lastname: Kwak
authors.forename: Seung Bin
authors.initials: SB
authors.lastname: Han
authors.forename: Gyochang
authors.initials: G
authors.lastname: Kim
authors.forename: Jinwook
authors.initials: J
authors.lastname: Choi
authors.forename: Jonghoon
authors.initials: J
authors.lastname: Chun
authors.forename: Kangsun
authors.initials: K
authors.lastname: Lee
authors.forename: Heeseung
authors.initials: H
authors.lastname: Bom
authors.forename: Sanggoo
authors.initials: S
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002908:Chronic Disease; D034201:Computers, Handheld; D020000:Decision Support Systems, Clinical; D003937:Diagnosis, Differential; D006801:Humans; D014581:Urticaria / Q000175:diagnosis*