Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/68827
Título: | Goal-Driven Structured Argumentation for Patient Management in a Multimorbidity Setting |
Autor(es): | Oliveira, Tiago Dauphin, Jérémie Satoh, Ken Tsumoto, Shusaku Novais, Paulo |
Data: | 2020 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Resumo(s): | We use computational argumentation to both analyse and generate solutions for reasoning in multimorbidity about consistent recommendations, according to different patient-centric goals. Reasoning in this setting carries a complexity related to the multiple variables involved. These variables reflect the co-existing health conditions that should be considered when defining a proper therapy. However, current Clinical Decision Support Systems (CDSSs) are not equipped to deal with such a situation. They do not go beyond the straightforward application of the rules that build their knowledge base and simple interpretation of Computer-Interpretable Guidelines (CIGs). We provide a computational argumentation system equipped with goal-seeking mechanisms to combine independently generated recommendations, with the ability to resolve conflicts and generate explanations for its results. We also discuss its advantages over and relation to Multiple-criteria Decision-making (MCDM) in this particular setting. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/68827 |
ISBN: | 9783030446376 |
DOI: | 10.1007/978-3-030-44638-3_11 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-44638-3_11 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Goal-driven Structured Argumentation for Patient Management in a Multimorbidity Setting.pdf | 438,57 kB | Adobe PDF | Ver/Abrir |