Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/25882

Title: Prediction of Neoadjuvant Chemotherapy Outcome in Breast Cancer Patients
Authors: Neves, José
Dias, Almeida
Silva, Cristiana
Ferreira, Diana
Costa, Luís
Ferraz, Filipa
Alves, Victor
Neves, João
Ribeiro, Jorge
Vicente, Henrique
Keywords: Breast Cancer
Neoadjuvant Chemotherapy
Knowledge Representation and Reasoning
Case Based Reasoning
Entropy
Logic Programming
Issue Date: 2019
Publisher: Springer
Citation: Neves, J., Dias, A., Silva, C., Ferreira, D., Costa, L., Ferraz, F., Alves, V., Neves, J., Ribeiro, J. & Vicente, H., Prediction of Neoadjuvant Chemotherapy Outcome in Breast Cancer Patients. Lecture Notes in Electrical Engineering, 574, 324–332, 2019.
Abstract: Breast Cancer is the most common invasive cancer in women worldwide. Indeed, it is imperative to investigate which factors influence the development of this disease in order to improve the efficiency of the treatment and to allow for a balanced follow-up. In fact, this article has in mind an original Case Based Reasoning (CBR) approach to problem solving, complemented with a novel approach to Knowledge Representation and Reasoning that takes into consideration the data items entropic states. It works towards cancer’s assessment after Neoadjuvant Chemotherapy in terms of its size, shape, and texture.
URI: http://hdl.handle.net/10174/25882
ISBN: 1876-1100 (paper)
ISSN: 1876-1119 (electronic)
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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