Research at Sofia University >
Faculty of Mathematics and Informatics >
Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10506/240

Title: Web-based CBR System for Support Medical Diagnosis
Authors: Stamenov, Alexander
Koychev, Ivan
Keywords: Web-based CBR System
Medical Diagnosis
Issue Date: 29-Oct-2009
Publisher: Demetra EOOD
Citation: Stamenov, Al., Koychev, I. Web-based CBR System for Support Medical Diagnosis, Proceedings of International Conference on SOFTWARE, SERVICES & SEMANTIC TECHNOLOGIES, October 28-29, 2009, Sofia, Bulgaria, ISBN 978-954-9526-62-2
Abstract: From the early days of development of Artificial Intelligence, there was a strong in-terest in applications in the area of medicine. The interest was strong enough to form a separate branch in the early ‘80s entitled Artificial Intelligence in Medicine (AIM). DXplain [1] is an illustration of system from this early period. It is an internal medi-cine expert system developed at the Massachusetts General Hospital that is still in use at a number of hospitals and medical schools, mostly for clinical education purposes. Rather than using an expert system approach or another rule-inferring paradigm we decided to employ a Case-based Reasoning (CBR) methodology [4]. Storing and searching among past cases has an advantage in complex domains where it is difficult to create a global theory that explains most of the existing cases.
URI: http://hdl.handle.net/10506/240
ISBN: 978-954-9526-62-2
Appears in Collections:Papers

Files in This Item:

File Description SizeFormat
S3T_AlStamenov_IKoychev-Web-based_CBR_System_for_Support_Medical_Diagnosis.pdf166.86 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback