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.
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References
Kautz, H., Ladkin, P.B.: Integrating metric and qualitative temporal reasoning. In: Proceedings of AAAI-91, Anaheim, CA, pp. 241–246 (1991)
Meiri, I.: Combining qualitative and quantitative constraints in temporal reasoning. Artificial Intelligence 87(1-2), 295–342 (1996)
Navarrete, I., Marín, R., Palma, J.: Redes de restricciones entre puntos y duraciones. In: Garijo, F.J., Riquelme, J.-C., Toro, M. (eds.) IBERAMIA 2002. LNCS (LNAI), vol. 2527, pp. 15–24. Springer, Heidelberg (2002)
Fernández Leal, A.: Aspectos temporales de la representación de conocimiento en el síndrome de apneas del sueño. A dissertation for the requirements for the degree of Doctor of Philosophy in Information and Computer Science. University of A Coruña (2006)
Fernández-Leal, A., Moret Bonillo, V.: A computable model for representing temporal knowledge and managing causality. MELECON, Electronic Proceedings. ISBN: 1-4244-0088-0. Library of Congress 2005938112. IEEE Catalog Number 06CH37756C (2006)
Fernańdez-Leal, A., Moret-Bonillo, V.: A framework for representing temporal knowledge in the intelligent diagnosis of the sleep apnea syndrome. IFMBE Proceedings, vol. 6, MEDICON 2004 (2004), ISSN: 1727-1983, ISBN: 88-7780-308-8
Allen, J.: Towards a general theory of action and time. Artificial Intelligence 23(2), 123–154 (1984)
Fernández-Leal, A., Moret-Bonillo, V.: A framework for handling temporal knowledge in clinical diagnosis problems. ESBME 2006. Electronic Proceedings (2006)
Cabrero-Canosa, M., Hernández-Pereira, E., Moret-Bonillo, V.: Intelligent Diagnosis of Sleep Apnea Syndrome. IEEE Engineering in Medicine and Biology 23(2), 72–81 (2004)
Burgess, R.C.: Computerized polysomnographic analysis systems. Journal of Clinical Neurophysiology 7(1), 145–154 (1990)
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Fernández-Leal, Á., Moret-Bonillo, V. (2007). The CTCN Temporal Model for Representing Knowledge in the Sleep Apnea Syndrome Diagnostic Task. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_41
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DOI: https://doi.org/10.1007/978-3-540-74819-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74817-5
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