Abstract
Explicit representation of time and change is an essential feature for building systems that are supposed to interact with real-world dynamic environments. In this paper, we propose to use the Cached Event Calculus (CEC), an improved version of the Event Calculus [Ko86], to represent temporal aspects in intelligent medical monitoring systems. In particular, we explore the application of CEC to the management of mechanical ventilation, using it to interpret change in data over time, assess patient status and its evolution, and choose the proper level of mechanical assistance.
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© 1995 Springer-Verlag Berlin Heidelberg
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Chittaro, L., Del Rosso, M., Dojat, M. (1995). Modeling medical reasoning with the Event Calculus: an application to the management of mechanical ventilation. In: Barahona, P., Stefanelli, M., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1995. Lecture Notes in Computer Science, vol 934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60025-6_127
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DOI: https://doi.org/10.1007/3-540-60025-6_127
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