B. Hayes-Roth, et al. Guardian: a prototype intelligent agent for intensive-care monitoring. Artificial Intelligence in Medicine 4: 165-185, 1992. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Proceedings of 5 th Conference on Artificial Intelligence in .. - June Pavia Italy (Correct)
.... data (like in pediatric growth monitoring where new data are collected several months or a year apart (e.g. TrenDx [6] in diabetes where new data arrive three or four times a day (e.g. 11] or in artificial ventilation management using only invasively determined variables (e.g. GUARDIAN [7]) Monitoring and therapy planning of high frequency data of ICU patients require different strategies for data validation, monitoring and therapy planning. A comparable, but closed loop approach is NeoGanesh Ganesh [3, 4] It is a rule based system designed for weaning of artificially ventilated ....
Hayes-Roth B., Washington R., Ash D., Hewett M., Collinot A., Vina A., Seiver A.: Guardian: A Prototype Intelligent Agent for Intensive-Care Monitoring, Artificial Intelligence in Medicine, 4(2), pp. 165-66, 1992.
Topological inference of teleology: Deriving function from.. - Everett (1999) (Correct)
....the MFM graph. Larsson claims worst case linear complexity for these algorithms because they only traverse static links. Such MFM models appear to scale; Larsson reports that a large scale (544 rules) MFM model for monitoring and diagnosis of post operative intensive care patients called Guardian [21] exhibits a worst case execution time for a fault diagnosis of 1100 s, and executes 500,000 rules per second. Overall, the MFM approach differs significantly from ours in that the modeler must make explicit the goals and functions of the system, whereas in TNT the inference of goals and functions ....
B. Hayes-Roth et al., Guardian: A prototype intelligent agent for intensive care monitoring, Artificial Intelligence in Medicine 4 (1992) 165--185.
Knowledge-Based Anytime Computation - Mouaddib, Zilberstein (1995) (9 citations) (Correct)
.... and Lesser, 1993] and various types of progressive reasoning techniques [Winston, 1984; Mouaddib et al. 1992] Another approach has been to con struct special architectures for particular problem domains such as the Guardian system for monitoring the patient s condition in an intensive care unit [Hayes Roth et al. 1991]. Among the general paradigms, anytime algorithms in particular are increasingly used in AI applications since they are easy to construct and monitor and since they can be efficiently combined to produce larger real time systems [Zilberstein, 1993] But success ful control of anytime algorithms ....
....systems and makes them inefficient when operating in dynamic environments. One approach to deal with the problem has been to develop specialized architectures for particular domains. One successful example is the Guardian system for monitoring the patient s condition in an intensive care unit [Hayes Roth et al. 1991]. The system inte grates perceptual capabilities with real time reasoning and action. Closer to our approach is the patient moni toring system developed by Ash et al. 1993] The sys tem exhibits an anytime behavior accomplished by organizing actions in a hierarchical structure. The result has ....
B. Hayes-Roth et al. Guardian: A Prototype Intelligent Agent for Intensive-Care Monitoring. Technical Report KSL-91-42, Stanford Knowledge Systems Laboratory, Stanford, California, 1991.
A Real-Time Agent Model in an Asynchronous-Object Environment - Guessoum, Dojat (1996) (Correct)
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B. Hayes-Roth, et al. Guardian: a prototype intelligent agent for intensive-care monitoring. Artificial Intelligence in Medicine 4: 165-185, 1992.
NéoGanesh: a Working System for the.. - Dojat, Pachet.. (Correct)
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B. Hayes-Roth, R. Washington, D. Ash, R. Hewett, A. Collinot, A. Vina and A. Seiver, Guardian: a prototype intelligent agent for intensive care monitoring, Artif. Intell. in Med. 4 (1992) 165-185.
Diagnostic Monitoring of Clinical Time Series - Steimann (1995) (Correct)
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B Hayes-Roth, R Washington, D Ash, M Hewett, A Collinot, A Vina, A Seiver (1992) "Guardian: a prototype intelligent agent for intensive-care monitoring", Artificial Intelligence in Medicine 4(2), 165--185
Optimizing Decision Quality with Contract Algorithms - Zilberstein (1995) (2 citations) (Correct)
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B. Hayes-Roth et al. Guardian: A prototype intelligent agent for intensive-care monitoring. Technical Report KSL-91-42, Stanford Knowledge Systems Laboratory, Stanford, California, 1991.
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