Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/71387

TitlePrediction of neoadjuvant chemotherapy outcome in breast cancer patients
Author(s)Neves, José
Dias, Almeida
Silva, Carlos César Loureiro
Ferreira, Diana
Costa, Luís
Ferraz, Filipa Tinoco
Alves, Victor
Ribeiro, Jorge
Neves, João
Vicente, Henrique
KeywordsBreast cancer
Case based reasoning
Entropy
Knowledge representation and reasoning
Logic programming
Neoadjuvant chemotherapy
Issue date2019
PublisherSpringer Verlag
JournalLecture Notes in Electrical Engineering
CitationNeves 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
Abstract(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.
TypeConference paper
URIhttps://hdl.handle.net/1822/71387
ISBN978-3-030-21506-4
e-ISBN978-3-030-21507-1
DOI10.1007/978-3-030-21507-1_45
ISSN1876-1100
Publisher versionhttps://link.springer.com/chapter/10.1007%2F978-3-030-21507-1_45
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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