DocumentCode :
2555164
Title :
A brain tumor diagnostic system with automatic learning abilities
Author :
Wang, C.H. ; Tseng, S.S.
Author_Institution :
Inst. of Comput. & Inf. Sci., Nat. Chiao-Tung Univ., Hsin-Chu, Taiwan
fYear :
1990
fDate :
3-6 Jun 1990
Firstpage :
313
Lastpage :
320
Abstract :
A medical diagnostic system, BTDS (the brain tumors diagnostic system), is presented. BTDS consists of an expert system and a learning system. The former can help diagnosticians in judging the causes of brain tumors according to computed tomography pictures, and the latter, based on a revised inductive learning method, is especially suitable in the case of brain tumors. By applying the proposed learning mechanism, the initial knowledge base can be constructed and new rules can be learned from noise data in the process of inference. The consideration and process of system implementation is introduced, and the learning mechanism is presented. An example is given to illustrate BTDS, and the test results are shown to evaluate the performance of the system
Keywords :
expert systems; knowledge acquisition; learning systems; medical diagnostic computing; BTDS; automatic learning abilities; brain tumor diagnostic system; computed tomography pictures; expert system; inference; learning system; medical diagnostic system; noise data; revised inductive learning method; Computed tomography; Diagnostic expert systems; Expert systems; Information science; Learning systems; Medical diagnosis; Medical expert systems; Neoplasms; System testing; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 1990., Proceedings of Third Annual IEEE Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-8186-9040-2
Type :
conf
DOI :
10.1109/CBMSYS.1990.109414
Filename :
109414
Link To Document :
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