A decision support system for breast cancer treatment based on data mining technologies and clinical practice guidelines

Skevofilakas, MT; Nikita, KS; Templaleksis, PH; Birbas, KN; Kaklamanos, IG; Bonatsos, GN

dc.contributor.author	Skevofilakas, MT	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Templaleksis, PH	en
dc.contributor.author	Birbas, KN	en
dc.contributor.author	Kaklamanos, IG	en
dc.contributor.author	Bonatsos, GN	en
dc.date.accessioned	2014-03-01T02:43:03Z
dc.date.available	2014-03-01T02:43:03Z
dc.date.issued	2005	en
dc.identifier.issn	05891019	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31197
dc.subject	Clinical Data	en
dc.subject	Clinical Guideline	en
dc.subject	Clinical Outcome	en
dc.subject	Clinical Practice	en
dc.subject	Clinical Practice Guideline	en
dc.subject	Data Mining	en
dc.subject	Evidence Based Medicine	en
dc.subject	Health Care	en
dc.subject	Medical Decision Making	en
dc.subject	Support System	en
dc.subject	Breast Cancer	en
dc.subject	Decision Support System	en
dc.subject	Information Technology Services	en
dc.subject.other	Breast cancer	en
dc.subject.other	Medical decision making	en
dc.subject.other	Data mining	en
dc.subject.other	Decision making	en
dc.subject.other	Decision support systems	en
dc.subject.other	Health care	en
dc.subject.other	Medical computing	en
dc.subject.other	Tumors	en
dc.title	A decision support system for breast cancer treatment based on data mining technologies and clinical practice guidelines	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2005.1616959	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2005.1616959	en
heal.identifier.secondary	1616959	en
heal.publicationDate	2005	en
heal.abstract	Evidence based medicine is the clinical practice that uses medical data and proof in order to make efficient decisions In the field of the medical domain. Information technology servies play a crucial role in exploiting the huge size of medical data involved. Furthermore health care society nowadays utilizes clinical guidelines [1][2] as a new assistant in their efforts to improve clinical decision efficacy. Clinical guidelines provide for the decrease of variance in medical decision making, leading to an improvement of clinical outcome. Therefore this paper focus is twofold. Improving the provision and visualization of disease specific, clinical data, providing for it's faster and more efficient use[10], while making sure that consistency appears in the clinical practice by importing clinical guidelinea in decision support systems © 2005 IEEE.	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en
dc.identifier.doi	10.1109/IEMBS.2005.1616959	en
dc.identifier.volume	7 VOLS	en
dc.identifier.spage	2429	en
dc.identifier.epage	2432	en