Querying probabilistic temporal constraints for guideline interaction analysis: GLARE’s approach

Antonella Andolina, Luca Anselma, Luca Piovesan, Paolo Terenziani

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo a conferenzapeer review

Abstract

The treatment of patients affected by multiple diseases (comorbid patients) is one of the main challenges of the modern healthcare, involving the analysis of the interactions of the guidelines for the specific diseases. However, practically speaking, such interactions occur over time. The GLARE project explicitly provides knowledge representation, temporal representation and temporal reasoning methodologies to cope with such a fundamental issue. In this paper, we propose a further improvement, to take into account that, often, the effects of actions have a probabilistic distribution in time, and being able to reason (through constraint propagation) and to query probabilistic temporal constraints further enhances the support for interaction detection.

Lingua originaleInglese
Titolo della pubblicazione ospiteAdvances in Artificial Intelligence – IBERAMIA 2018 - 16th Ibero-American Conference on AI, Proceedings
EditorEduardo Fermé, Guillermo R. Simari, Flabio Gutiérrez Segura, José Antonio Rodríguez Melquiades
EditoreSpringer Verlag
Pagine3-15
Numero di pagine13
ISBN (stampa)9783030039271
DOI
Stato di pubblicazionePubblicato - 2018
Evento16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018 - Trujillo, Peru
Durata: 13 nov 201816 nov 2018

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11238 LNAI
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018
Paese/TerritorioPeru
CittàTrujillo
Periodo13/11/1816/11/18

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