Research at Sofia University >
Faculty of Mathematics and Informatics >
Please use this identifier to cite or link to this item:
|Title: ||Web-based CBR System for Support Medical Diagnosis|
|Authors: ||Stamenov, Alexander|
|Keywords: ||Web-based CBR System|
|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  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 . 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.|
|Appears in Collections:||Papers|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.