Generating diagnositc rules directly from experimental data
學年 86
學期 1
出版(發表)日期 1997-12-01
作品名稱 Generating diagnositc rules directly from experimental data
作品名稱(其他語言)
著者 Su, Mu-chun;Hsieh, Ching-tang;Chin, Chieh-ching
單位 淡江大學電機工程學系
出版者 Singapore: World Scientific Publishing Co. Pte. Ltd.
著錄名稱、卷期、頁數 Biomedical Engineering: Applications, Basis and Communications 9(6), pp.9-14
摘要 Traditionally, a major task in building a medical diagnosis expert system is the process of acquiring the required knowledge in the form of production rules. alternative knowledge acquisition approaches to articulating knowledge required for diagnostic tasks are presented in this paper. Each approach has its own advantages and disadvantages. The ultimate goal of these approaches is to free human experts from tedious diagnosis loads. The effectiveness of these approaches is demonstrated by an example of a hypothesis regarding the pathophysiology of diabetes.
關鍵字 Neural networks;Fuzzy systems;Computer-aided expert systems;Medical diagnosis
語言 en
ISSN 1016-2372
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度
國別 SGP
公開徵稿
出版型式 紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/60738 )

機構典藏連結