A decision support system for breast cancer treatment based on data mining technologies and clinical practice guidelines.
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 [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[l0], while making sure that consistency appears in the clinical practice by importing clinical guidelines in decision support systems.
Skevofilakas
Marios
M
Department of Electrical and Computer Engineering, National Technical University of Athens.
Nikita
Konstantina
K
Templaleksis
Panagiotis
P
Birbas
K
K
Kaklamanos
I G
IG
Bonatsos
G N
GN