DocumentCode
530289
Title
Case-based reasoning system for histopathology diagnosis
Author
Katedee, Suchada ; Sanrach, Charan ; Thesawadwong, Thiwapom
Author_Institution
Dept. of Comput. Educ., KMUTNB, Bangkok, Thailand
Volume
1
fYear
2010
fDate
17-19 Sept. 2010
Abstract
The objective of this research is to develop a case based reasoning system (CBRS) to assist medical students in diagnosis the histopathology. Case-based reasoning system will provide assistance to the medical students to retrieve the past successful diagnosis cases. This paper utilizes the CBR tool, myCBR, to construct a case-based reasoning system. myCBR is built upon the ontology tool: Protégé. The cases are organized in an object-oriented way, which is inherited from Protégé, for easy organization of the existing cases. Each class would have its attributes stored in the corresponding frame. Users can easily retrieve the most closed case by selecting the proper class from the menu then specified the corresponding values in the frame. A pilot implementation will show the process of the simulation case retrieval.
Keywords
biological tissues; biomedical education; case-based reasoning; computer aided instruction; information retrieval; medical diagnostic computing; ontologies (artificial intelligence); patient diagnosis; user interfaces; CBR tool; Protégé; case-based reasoning system; histopathology diagnosis; medical students; myCBR; object-oriented method; ontology tool; simulation case retrieval; Case based reasoning system; histopathology diagnosis; medical student;
fLanguage
English
Publisher
ieee
Conference_Titel
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8033-3
Electronic_ISBN
978-1-4244-8035-7
Type
conf
DOI
10.1109/ICEIT.2010.5607648
Filename
5607648
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