AN AGENT-BASED ARCHITECTURE FOR CANCER STAGING

Miguel Miranda, António Abelha, Manuel Santos, José Machado, José Neves

Abstract

Cancer staging is the process by which physicians evaluate the spread of cancer. This is important, once in a good cancer staging system, the stage of disease helps to determine prognosis and assists in selecting therapies. A combination of physical examination, blood tests, and medical imaging is used to determine the clinical stage; if tissue is obtained via biopsy or surgery, examination of the tissue under a microscope can provide pathologic staging. On the other hand, good patient education may help to reduce health service costs and improve the quality of life of people with chronic or terminal conditions. In this paper it is endorsed a theoretical based model to support the provision of computer based information on cancer patients, and the computational techniques used to implement it. One's goal is to develop an interactive agent based computational system which may provide physicians with the right information, on time, that is adapted to the situation and process-based aspects of the patients's illness and treatment.

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Paper Citation


in Harvard Style

Miranda M., Abelha A., Santos M., Machado J. and Neves J. (2009). AN AGENT-BASED ARCHITECTURE FOR CANCER STAGING . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 313-316. DOI: 10.5220/0001863503130316


in Bibtex Style

@conference{iceis09,
author={Miguel Miranda and António Abelha and Manuel Santos and José Machado and José Neves},
title={AN AGENT-BASED ARCHITECTURE FOR CANCER STAGING},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={313-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001863503130316},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - AN AGENT-BASED ARCHITECTURE FOR CANCER STAGING
SN - 978-989-8111-85-2
AU - Miranda M.
AU - Abelha A.
AU - Santos M.
AU - Machado J.
AU - Neves J.
PY - 2009
SP - 313
EP - 316
DO - 10.5220/0001863503130316