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Argumentation-based explanations of multimorbidity treatment plans
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dc.contributor.author | Shaheen, Qurat-ul-ain | |
dc.contributor.author | Toniolo, Alice | |
dc.contributor.author | Kuster Filipe Bowles, Juliana | |
dc.contributor.editor | Uchiya, Takahiro | |
dc.contributor.editor | Bai, Quan | |
dc.contributor.editor | Maestre, Iván Marsá | |
dc.date.accessioned | 2021-02-15T10:30:08Z | |
dc.date.available | 2021-02-15T10:30:08Z | |
dc.date.issued | 2021 | |
dc.identifier | 271087013 | |
dc.identifier | ea5080af-c8e7-4c8d-a1dd-427fad3f1c56 | |
dc.identifier | 85102739558 | |
dc.identifier.citation | Shaheen , Q , Toniolo , A & Kuster Filipe Bowles , J 2021 , Argumentation-based explanations of multimorbidity treatment plans . in T Uchiya , Q Bai & I M Maestre (eds) , PRIMA 2020: Principles and Practice of Multi-Agent Systems : 23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 12568 LNCS , Springer , Cham , pp. 394-402 , 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020 , 18/11/20 . https://doi.org/10.1007/978-3-030-69322-0_29 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9783030693213 | |
dc.identifier.isbn | 9783030693220 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.other | ORCID: /0000-0002-5918-9114/work/89178789 | |
dc.identifier.other | ORCID: /0000-0002-6816-6360/work/89178848 | |
dc.identifier.uri | https://hdl.handle.net/10023/21432 | |
dc.description.abstract | We present an argumentation model to explain the optimal treatment plans recommended by a Satisfiability Modulo Theories solver for multimorbid patients. The resulting framework can be queried to obtain supporting reasons for nodes on a path following a model of argumentation schemes. The modelling approach is generic and can be used for justifying similar sequences. | |
dc.format.extent | 9 | |
dc.format.extent | 389288 | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | PRIMA 2020: Principles and Practice of Multi-Agent Systems | en |
dc.relation.ispartofseries | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en |
dc.subject | Multimorbidity | en |
dc.subject | Argumentation schemes | en |
dc.subject | SMT solvers | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | RM Therapeutics. Pharmacology | en |
dc.subject | T-NDAS | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | RM | en |
dc.title | Argumentation-based explanations of multimorbidity treatment plans | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | 10.1007/978-3-030-69322-0_29 | |
dc.date.embargoedUntil | 2021-02-14 | |
dc.identifier.url | http://uchiya.web.nitech.ac.jp/prima2020/acceptedpaper.html | en |
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