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dc.contributor.authorShaheen, Qurat-ul-ain
dc.contributor.authorToniolo, Alice
dc.contributor.authorKuster Filipe Bowles, Juliana
dc.contributor.editorUchiya, Takahiro
dc.contributor.editorBai, Quan
dc.contributor.editorMaestre, Iván Marsá
dc.date.accessioned2021-02-15T10:30:08Z
dc.date.available2021-02-15T10:30:08Z
dc.date.issued2021
dc.identifier271087013
dc.identifierea5080af-c8e7-4c8d-a1dd-427fad3f1c56
dc.identifier85102739558
dc.identifier.citationShaheen , 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_29en
dc.identifier.citationconferenceen
dc.identifier.isbn9783030693213
dc.identifier.isbn9783030693220
dc.identifier.issn0302-9743
dc.identifier.otherORCID: /0000-0002-5918-9114/work/89178789
dc.identifier.otherORCID: /0000-0002-6816-6360/work/89178848
dc.identifier.urihttps://hdl.handle.net/10023/21432
dc.description.abstractWe 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.extent9
dc.format.extent389288
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofPRIMA 2020: Principles and Practice of Multi-Agent Systemsen
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.subjectMultimorbidityen
dc.subjectArgumentation schemesen
dc.subjectSMT solversen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRM Therapeutics. Pharmacologyen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccRMen
dc.titleArgumentation-based explanations of multimorbidity treatment plansen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doi10.1007/978-3-030-69322-0_29
dc.date.embargoedUntil2021-02-14
dc.identifier.urlhttp://uchiya.web.nitech.ac.jp/prima2020/acceptedpaper.htmlen


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