Querying Probabilistic Temporal Constraints for Guideline Interaction Analysis: GLARE’s Approach

Antonella Andolina, Luca Anselma, LUCA PIOVESAN, Paolo TERENZIANI

Risultato della ricerca: Contributo alla conferenzaContributo in Atti di Convegnopeer 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
Pagine3-15
Numero di pagine13
DOI
Stato di pubblicazionePubblicato - 1 gen 2018
EventoIbero-American Conference on Artificial Intelligence - Trujillo, Peru
Durata: 1 gen 2018 → …

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???event.eventtypes.event.conference???Ibero-American Conference on Artificial Intelligence
CittàTrujillo, Peru
Periodo1/01/18 → …

Keywords

  • Probabilistic temporal constraints
  • Temporal reasoning
  • Guideline interaction analysis
  • Decision support system

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