DocumentCode :
2112610
Title :
Bisimulation-based consistency checking on Feng-Han-Shi-Bi syndrome for rheumatoid arthritis
Author :
Guang Zheng ; Zekun Ning ; Junping Zhan ; Kai Cui ; Miao Jiang ; Cheng Lu ; Aiping Lu
Author_Institution :
Sch. of Inf. Sci.-Eng., Lanzhou Univ., Lanzhou, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
713
Lastpage :
717
Abstract :
Checking the consistency of knowledge items between textbook and clinical practice is very important for traditional Chinese medicine (TCM). According to the textbook of internal medicine of TCM, rheumatoid arthritis (RA) is a disease with four syndromes (also called pattern) and Feng-Han-Shi-Bi is the major one. Bisimulation is an equivalence relationship/method in formal methods which can be used to compare the consistency of system´s description and its behaviors. In TCM, knowledge items from textbook can be taken as system´s description, and knowledge items from clinical practice can be taken as the behaviors of the system. For RA´s Feng-Han-Shi- Bi syndrome, employing bisimulation method, the consistency of knowledge items between textbook and clinical practice has been checked. As a result, on Feng-Han-Shi-Bi syndrome, most knowledge items in textbook can be simulated by the clinical practice while two others cannot be simulated e.g., Han-Re- Cuo-Za syndrome in clinical practice and Fang-Feng-Tang in textbook have no exact bisimulation items. In brief, bisimulation is a proper method for consistency check between TCM textbook and clinical practice.
Keywords :
bioinformatics; data mining; diseases; text analysis; Feng-Han-Shi-Bi syndrome; Han-Re- Cuo-Za syndrome; RA disease syndromes; TCM internal medicine textbook; bisimulation-based knowledge item consistency checking; clinical practice; equivalence method; equivalence relationship; formal methods; rheumatoid arthritis; system description; traditional Chinese medicine; Arthritis; Bismuth; Conferences; Educational institutions; Knowledge engineering; Text mining; bisimulation; consistency checking; rheumatoid arthritis; text mining; traditional Chinese medicine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/FSKD.2013.6816288
Filename :
6816288
Link To Document :
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