CONSTRUCTING NEW DRUG ADOPTION RULES IN MEDICAL INSTITUTION

摘要：

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.

关键词： Drug adoption Healthcare Fuzzy logic Delphi method

作者: CHING-HSUE CHENG JR-SHIAN CHEN JIA-WEN WANG

作者单位: Department of Information Management, National Yunlin University of Science and Technology, 123, Sec Department of Information Management, National Yunlin University of Science and Technology, 123, Sec Department of Electronic Commerce Management, Nanhua University, No.32,Chungkeng, Dalin, Chiayi 622,

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1359-1364

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）