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Title: Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening
Authors: Neves, José
Dias, Almeida
Morais, Ana
Fonseca, Francisca
Loreto, Patrícia
Alves, Victor
Araújo, Isabel
Machado, Joana
Fernandes, Bruno
Ribeiro, Jorge
Analide, César
Ferraz, Filipa
Neves, João
Vicente, Henrique
Keywords: Soft Tissue Sarcoma
Magnetic Resonance Imaging
Logic Programming
Knowledge Representation and Reasoning
Case Based Reasoning
Predicative Vagueness
Issue Date: 2018
Publisher: Springer
Citation: Neves, J., Dias, A., Morais, A., Fonseca, F., Loreto, P., Alves, V., Araújo, I., Machado, J., Fernandes, B., Ribeiro, J., Analide, C., Ferraz, F., Neves, J., and Vicente, H. Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening. Lecture Notes in Computer Science, 11308, 80-89, 2018.
Abstract: Soft Tissue Sarcomas (STSs) pose a potential risk for the development of lung metastases, which in turn results in a negative prognosis for patients. Presumptions about the occurrence of these abnormalities during STSs treatment would have countless implications for both patients and healthcare professionals as they could increase the efficacy of the treatment and improve overall survival. Prediction is based on a creative Logic Programming, Case Based Reasoning approach to problem solving, that is complemented with an unusual approach to Knowledge Representation and Reasoning, as it takes into consideration not only the data items entropic states but introduces the concept of Vague's Predicate Extension.
ISBN: 1611-3349 (electronic)
ISSN: 0302-9743 (paper)
Type: article
Appears in Collections:CQE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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