Title :
A decision support system for breast cancer treatment based on data mining technologies and clinical practice guidelines
Author :
Skevofilakas, M.T. ; Nikita, K.S. ; Templaleksis, P.H. ; Birbas, K.N. ; Kaklamanos, I.G. ; Bonatsos, G.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens
fDate :
6/27/1905 12:00:00 AM
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 services play a crucial role in exploiting the huge size of medical data involved. Furthermore health care society nowadays utilizes clinical guidelines 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, while making sure that consistency appears in the clinical practice by importing clinical guidelines in decision support systems
Keywords :
biological organs; cancer; data mining; decision making; decision support systems; gynaecology; health care; medical information systems; patient treatment; breast cancer treatment; clinical decision efficacy; clinical practice guidelines; data mining; decision support system; disease; evidence based medicine; health care; information technology; medical decision making; Breast cancer; Data mining; Decision support systems; Diseases; Guidelines; Hospitals; Medical diagnostic imaging; Medical services; Medical treatment; Oncological surgery;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616959