The knowledge modeling for chronic urticaria assessment in clinical decision support system with PDA.
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.
Kwak
Miyoung
M
Department of Biomedical Engineering, College of Medicine, Seoul National University, Korea.
Han
Seung Bin
SB
Kim
Gyochang
G
Choi
Jinwook
J
Chun
Jonghoon
J
Lee
Kangsun
K
Bom
Heeseung
H
Lee
Sanggoo
S
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*