Detalhes bibliográficos
| Resumo: | 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. |
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| Autores principais: | Neves, José |
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| Outros Autores: | Dias, Almeida; Morais, Ana; Fonseca, Francisca; Loreto, Patrícia; Alves, Victor; Araújo, Isabel; Machado, Joana; Fernandes, B.; Ribeiro, Jorge; Analide, Cesar; Ferraz, Filipa Tinoco; Neves, João; Vicente, Henrique |
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| Assunto: | Case Based Reasoning Entropy Knowledge Representation and Reasoning Logic Programming Magnetic Resonance Imaging Predicative Vagueness Soft Tissue Sarcoma |
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| Ano: | 2018 |
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| País: | Portugal |
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| Tipo de documento: | comunicação em conferência |
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| Tipo de acesso: | acesso restrito |
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| Instituição associada: | Universidade do Minho |
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| Idioma: | inglês |
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| Origem: | RepositóriUM - Universidade do Minho |
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