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doi:10.1016/j.eswa.2005.09.076 
Copyright © 2005 Elsevier Ltd All rights reserved.
A knowledge-based approach to assign breast cancer treatments in oncology units
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Teddy G. Miranda-Menaa, 1, 
, Sandra L. Benítez U.a, 1, , José Luis Ochoaa, 1, , Rodrigo Martínez-Béjara, 1, , Jesualdo Tomás Fernández-Breisb, 
, and Juan Salinasc, 2
Available online 17 October 2005.
Abstract
The aim of this work is to present a developed knowledge-based approach for breast cancer treatment. This Decision Support System (DSS) uses an incremental knowledge acquisition technique called Multiple Classification Ripple Down Rules (MCRDR) and a breast cancer treatments knowledge base. This system integrate MCRDR inference engine and use knowledge bases to reach advanced reasoning level during the decision making process. The knowledge base will be built from clinical protocols, and its content will be updated by the doctor using the MCRDR component. This DSS infers a cancer treatment from the (clinical or pathological) input data supplied by the physician and it also allows the maintenance of the knowledge base.
Keywords: Knowledge acquisition; Knowledge representation; Decision support system; Breast cancer; Protocols and guidelines; Validation and verification
Article Outline
- 1. Introduction
- 2. Modelling the concepts of the knowledge-based system
- 3. Construction of the breast cancer treatments knowledge base
- 4. The Oncology Decision Support Tool
- 4.1. Patients.
- 4.2. Inference engine
- 4.3. Knowledge acquisition and maintenance
- 4.4. Explaining conclusions
- 5. Validation
- 6. Conclusions
- Acknowledgements
- References
