Title :
Application of arithmetic CAP2 in medical diagnosis expert system
Author :
Zhaoxia, Li ; Yueling, Zhang
Author_Institution :
Dept. of Comput. Sci., Xinzhou Teachers Univ., Xinzhou, China
Abstract :
With the social progress and the continuous development of artificial intelligence, medical diagnosis expert systems have become an indispensable supplementary means of medical. Expert system knowledge acquisition is one of the methods of machine learning, inductive learning to develop a more mature one. This paper selected medical diagnosis of Parkinson´s disease cases, the use of induction learning algorithm ID3 improved algorithm CAP2, the rules extracted them to build expert systems knowledge acquisition process, and achieved good results.
Keywords :
diagnostic expert systems; knowledge acquisition; learning (artificial intelligence); medical expert systems; patient diagnosis; Parkinson disease; arithmetic CAP2 application; artificial intelligence; inductive learning; knowledge acquisition; machine learning; medical diagnosis expert system; social progress; Arithmetic; Artificial intelligence; Diagnostic expert systems; Knowledge acquisition; Machine learning; Machine learning algorithms; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Parkinson´s disease; CAP2 algorithm; Parkinson´s disease; knowledge acquisition; medical diagnostic rule extraction;
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
DOI :
10.1109/ICETC.2010.5529382