Title :
Data Mining System applied to Endoscopic Image Base
Author :
Zemirline, A. ; Lecornu, Laurent ; Solaiman, B.
Author_Institution :
Dept. of ITI, GET/ENST Bretagne, Brest
Abstract :
Since 1980, many hospital information systems (HIS) came into being. These HIS are at the origin of the storage of huge medical data. Data mining is a domain which presents the most powerful tools for the extraction of knowledge and for structuring them. The first intelligent systems or assistance systems for medical diagnosis are the case-base reasoning systems. In these systems, the data mining method was integrated to improve them and to fill some gaps. We present an application of data mining which is based on case-base reasoning. The characteristic of this application is building knowledge base without integrating expert knowledge and we use this knowledge base to retrieve case from case base
Keywords :
case-based reasoning; data mining; diagnostic expert systems; medical diagnostic computing; medical information systems; patient diagnosis; assistance system; case-base reasoning system; data mining system; endoscopic image base; hospital information system; intelligent system; knowledge base; knowledge extraction; knowledge structure; medical diagnosis; Biomedical imaging; Data mining; Decision making; Hospitals; Information systems; Intelligent systems; Lesions; Machine learning; Medical diagnosis; Medical diagnostic imaging;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684578
