Advances in Smart Systems Research

Publisher Future Technology Publications
Vol. 2 No. 1 Workshop Papers from KES Conferences 2012
Journal ISSN 2050-8662
Article TitleComputerized decision support systems for breast cancer management: project design
Primary AuthorRicardo Gonzalez Otal, Technological Innovation Department, University Hospital Virgen del Rocio, Seville (Spain)
Other Author(s) Jose Luis Lopez Guerra; Carlos Luis Parra Calderon; Alberto Moreno Conde; Maria Jose Ortiz Gordillo
Pages 13 - 20
Article ID kes12w-001
Publication Date 12-Sep-12

Currently, international clinical guidelines (CG), provide an evidence-based knowledge approach to the management of breast cancer. However, CG reported in the state-of-the-art neither address the uncertainty in decision making related to the applicability of trials to individual patients nor the uncertainty due to patient preferences on outcomes and treatment risks. For these reasons computerized decision support systems (CDSS) incorporate predictive models for diagnosis, treatment and outcomes in the breast cancer management workflow, providing a unified framework for uncertainty management in clinical guidelines. These predictive models would provide adjuvant evidence to the stakeholders in specific questions of special relevance during the decision-making process in the management the breast cancer, ultimately allowing effective communication of risk and patient preference's elicitation. The purpose of this project is to assess the clinical impact of CDSS on breast cancer diagnosis and treatment.


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Remarks Presented at the 'Groundbreaking Intelligent Systems Research' workshop at the KES2012 conference, San Sebastian, Spain, 10-12 September 2012