DocumentCode :
467744
Title :
Constructing New Drug Adoption Rules in Medical Institution
Author :
Cheng, Ching-Hsue ; Chen, Jr-Shian ; Wang, Jia-Wen
Author_Institution :
Nat. Yunlin Univ. of Sci. & Technol., Touliu
Volume :
3
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
1359
Lastpage :
1364
Abstract :
Knowledge of medicinal chemical compounds is complex and evidence-based. This study extracted knowledge of drugs from experts and assessed that knowledge using sophisticated computational techniques for critical decision making. By using fuzzy inference system this study evaluated new drug candidates in efficient way by considering not only safety and efficacy, but also the hottest issue-cost. The process utilized in this study was based on the consensus of the Drugs and Therapeutic Committee (DTC). Finally, this study establishes new drug adoption rules based on the knowledge of DTC members and implements a fuzzy inference system. Notably, the verification and comparison of this study also provide an intuitive direction for system development and further researches.
Keywords :
decision making; drugs; fuzzy logic; fuzzy reasoning; health care; knowledge acquisition; medical computing; computational techniques; critical decision making; drug adoption rules; fuzzy inference system; fuzzy logic; health care; knowledge extraction; medical institution; medicinal chemical compounds; Cybernetics; Decision making; Drugs; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Health information management; Machine learning; Medical services; Delphi method; Drug adoption; Fuzzy logic; Healthcare;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370356
Filename :
4370356
Link To Document :
بازگشت