A dynamic Bayesian network for handling uncertainty in a decision support system adapted to the monitoring of patients treated by hemodialysis

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 2005, Issue , 2005, Pages 594-598

  Rose, Cédric ^a   Smaili, Cherif ^a   Charpillet, François ^a  

^a LORIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS; HEALTH CARE; PATIENT MONITORING; UNCERTAIN SYSTEMS;

BAYESIAN NETWORKS; EXPERT KNOWLEDGE; HEMODIALYSIS;

COMPUTER NETWORKS;

EID: 33845873295     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2005.7     Document Type: Conference Paper

References (10)

1. G. Cooper. Nestor: A computer-based medical diagnosis that integrates causal and probabilistic knowledge. Technical report, Stanford University, CA, 1984.
2. J. Eugene Santos. On the generation of alternative explanations with implications for belief revision. In Proceedings of the seventh conference (1992) on Uncertainty in artificial intelligence, pages 339-347, San Francisco, CA, USA, 1991. Morgan Kaufmann Publishers Inc.
3. M. Henrion. Towards efficient probabilistic diagnosis in multiply connected belief networks. In R. M. Oliver and J. Q. Smith, editors, Influence Diagrams, Belief Nets and Decision Analysis, pages 385-410. John Wiley and Sons, New York, NY, 1990.
4. F. Jensen, S. Lauritzen, and K. Olsen. Bayesian updating in recursive graphical models by local computations. In Computational Statistical Quarterly, 4:269-282, 1990.
5. L. Lauritzen, G. Cowell, Robert, Dawid, A.Philip, S., and D. J.Spiegelhalter. Probabilistic Networks and Expert Systems. Springer-Verlag New York, Inc, 1999.
6. P. Murphy. Dynamic Bayesian Networks: Representation, Inference and Learning. PhD thesis, University of California Berkeley, 2002.
7. Organisation. W.h. Technical report, http://www.who.int, 1997.
8. J. Pearl. Fusion, propagation, and structuring in belief networks. Artif. Intell., 29(3):241-288, 1986.
9. J. Pearl. Probabilistic reasoning in intelligent systems: Networks of plausible inference. Morgan Kaufman Publishers, Inc., San Mateo, CA, 2nd edition, 1988.
10. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition, pages 267-296, 1990.