The CTCN temporal model for representing knowledge in the sleep apnea syndrome diagnostic task

  • Authors:

  • Ángel Fernández-Leal;Vicente Moret-Bonillo

  • Affiliations:

  • Laboratory for Research and Development in Artificial Intelligence, Department of Computer Science, University of A Coruña, A Coruña, Spain;Laboratory for Research and Development in Artificial Intelligence, Department of Computer Science, University of A Coruña, A Coruña, Spain

  • Venue:
  • KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
  • Year:
  • 2007

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Abstract

We present a prototype for implementing a framework for handling temporal information using the CTCN (Causal Temporal Constraint Networks) model as the representational schema. This prototype was developed for application to the diagnosis of the sleep apnea syndrome (SAS). The temporal information in SAS diagnosis is structured--according to its characteristics and temporal granularity--in terms of different interpretation contexts that are connected to each other via an inference mechanism.