Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71387
Título: | Prediction of neoadjuvant chemotherapy outcome in breast cancer patients |
Autor(es): | Neves, José Dias, Almeida Silva, Carlos César Loureiro Ferreira, Diana Costa, Luís Ferraz, Filipa Tinoco Alves, Victor Ribeiro, Jorge Neves, João Vicente, Henrique |
Palavras-chave: | Breast cancer Case based reasoning Entropy Knowledge representation and reasoning Logic programming Neoadjuvant chemotherapy |
Data: | 2019 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Electrical Engineering |
Citação: | Neves J. et al. (2019) Prediction of Neoadjuvant Chemotherapy Outcome in Breast Cancer Patients. In: Ntalianis K., Vachtsevanos G., Borne P., Croitoru A. (eds) Applied Physics, System Science and Computers III. APSAC 2018. Lecture Notes in Electrical Engineering, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-030-21507-1_45 |
Resumo(s): | 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71387 |
ISBN: | 978-3-030-21506-4 |
e-ISBN: | 978-3-030-21507-1 |
DOI: | 10.1007/978-3-030-21507-1_45 |
ISSN: | 1876-1100 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-21507-1_45 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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3.pdf Acesso restrito! | 1,01 MB | Adobe PDF | Ver/Abrir |