Prediction of Neoadjuvant Chemotherapy Outcome in Breast Cancer Patients

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 origina...

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Bibliographic Details
Main Author: Neves, José (author)
Other Authors: Dias, Almeida (author), Silva, Cristiana (author), Ferreira, Diana (author), Costa, Luís (author), Ferraz, Filipa (author), Alves, Victor (author), Neves, João (author), Ribeiro, Jorge (author), Vicente, Henrique (author)
Format: article
Language:eng
Published: 2019
Subjects:
Breast Cancer
Neoadjuvant Chemotherapy
Knowledge Representation and Reasoning
Case Based Reasoning
Entropy
Logic Programming
Online Access:http://hdl.handle.net/10174/25882
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/25882
Description
Summary: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.

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