Web-based CBR System for Support Medical Diagnosis

dc.contributor.author	Stamenov, Alexander	en_US
dc.contributor.author	Koychev, Ivan	en_US
dc.date.accessioned	2011-10-24T20:26:13Z
dc.date.available	2011-10-24T20:26:13Z
dc.date.issued	2009	bg
dc.identifier.citation	Stamenov, Alexander, Koychev, Ivan (2009), 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, p. 188	en_US
dc.identifier.isbn	978-954-9526-62-2	bg
dc.identifier.uri	http://hdl.handle.net/10506/667
dc.description.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.	en_US
dc.format	application/pdf	bg
dc.language.iso	eng	bg
dc.publisher	Demetra EOOD	en_US
dc.relation	info:eu-repo/grantAgreement/EC/FP7/205030	bg
dc.rights	info:eu-repo/semantics/openAccess	bg
dc.subject	Medical Diagnosis	en_US
dc.subject	CBR System	en_US
dc.subject	Web	en_US
dc.title	Web-based CBR System for Support Medical Diagnosis	en_US
dc.type	info:eu-repo/semantics/conferencePaper	bg