Title :
A new knowledge acquisition method from TCM clinical cases based on information extraction
Author :
Huan-sheng, Zhang ; De-zheng, Zhang ; Xi-xuan, Chen
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
Abstract :
In traditional Chinese medicine (TCM), clinical cases are viewed as semi-structured text, which is between free text and structured text. Their characteristic is lack for grammar, having no strict format, and even uncompleted sentences. But, clinical cases is an important knowledge source, the knowledge acquisition from which are going urgently for inheriting TCM. In this paper, a new machine learning method was proposed for the information extraction TCM clinical cases based on structured templates. This method is an interactive processes with a domain expert. If we use uniform templates to describe the TCM clinical cases, they will not only result the loss of some information, but also not reflect the every expertpsilas experience knowledge perfectly. In this paper, EPTCMR, a method of extraction template from TCM clinical cases is proposed, which is based on domain ontology of TCM.
Keywords :
information retrieval; knowledge acquisition; learning (artificial intelligence); medical computing; TCM clinical cases; information extraction; knowledge acquisition Method; machine learning method; traditional Chinese medicine; Automation; Coatings; Data mining; Intelligent control; Knowledge acquisition; Knowledge engineering; Medical diagnostic imaging; Ontologies; Speech analysis; Tongue; Domain information extraction; Ontology; TCM; machine learning;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594172
