Learning Bayesian networks probabilities from longitudinal data

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.

Volumn 28, Issue 5, 1998, Pages 629-636

  Bellazzi, Riccardo ^a   Riva, Alberto ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

Bayesian procedure; Learning systems; Monitoring

Indexed keywords

LEARNING ALGORITHMS; PARAMETER ESTIMATION;

BAYESIAN NETWORKS;

LEARNING SYSTEMS;

EID: 0032166659     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/3468.709608     Document Type: Article

References (19)

1. S. Andreassen, "Model-based biosignal interpretation," Meth. Inf. Med., vol. 33, pp. 103-110, 1994.
2. R. Bellazzi, C. Siviero, M. Stefanelli, and G. De Nicolao, "Adaptive controllers for intelligent monitoring," Artif. Intell. Med., vol. 7, pp. 515-540, 1995.
3. W. L. Buntine, "Operations for learning with graphical models," J. Artif. Intell. Res., vol. 2, pp. 159-225, 1994.
4. G. Consonni and P. Giudici, "Learning in probabilistic expert systems," in S.I.S. Workshop Probabilistic Expert Systems, R. Scozzafava, Ed., Rome, Italy, 1993, pp. 57-78.
5. R. G. Cowell, A. P. Dawid, and D. J. Spiegelhalter, "Sequential model criticism in probabilistic expert systems," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 209-219, 1993.
6. P. Dagum and A. Galper, "Additive belief-network models," Int. J. Man.-Mach. Stud., vol. 42, pp. 617-632, 1995.
7. D. Heckerman, D. Geiger, and D. M. Chickering, "Learning Bayesian networks: The combination of knowledge and statistical data," Mach. Learn., vol. 20, pp. 197-243, 1995.
8. S. L. Lauritzen, "The EM algorithm for graphical association models with missing data," Computat. Statist. Data Anal., vol. 19, pp. 191-201, 1995.
9. T. Leonard, "Bayesian simultaneous estimation for several multinomial experiments," Commun. Statist. Theor. Meth., vol. A6, no. 7, pp. 619-630, 1977.
10. L. Lenert, L. Sheiner, and T. Blaschke, "Improving drug dosing in hospitalized patients: Automated modeling of pharmacokinetics for individualization of drug dosage regimens," Comput. Meth. Progr. Biomed., vol. 30, pp. 169-176, 1989.
11. J. S. Maritz and T. Lwin, Empirical Bayes Methods. New York: Chapman & Hall, 1989.
12. G. M. Provan, "Tradeoffs in knowledge-based construction of probabilistic models," IEEE Trans. Syst., Man, Cybern., vol. 24, pp. 1580-1592, 1994.
13. S. Quaglini, R. Bellazzi, F. Locatelli, M. Stefanelli, and C. Salvaneschi, "An influence diagram for assessing GVHD prophylaxis after bone marrow transplantation in children," Med. Decision Making, vol. 14, pp. 223-235, 1994.
14. A. Riva and R. Bellazzi, "High level control strategies for diabetes therapy," in Lecture Notes in Medical Informatics, P. Barahona, M. Stefanelli, and J. Wyatt, Eds. Berlin: Springer-Verlag, 1995, vol. 934, pp. 185-196.
15. S. Russel, "Local learning in probabilistic networks with hidden variables," in Proc. 14th Int. Joint Conf. Artificial Intelligence. San Mateo, CA: Morgan Kauffman, 1995, pp. 1146-1152.
16. L. Sheiner and S. L. Beal, "Bayesian individualization of pharmacokinetics: Simple implementation and comparison with non-Bayesian methods," J. Pharm. Sci., vol. 71, pp. 1344-1348, 1982.
17. D. Spiegelhalter, A. Dawid, S. Lauritzen, and R. Cowell, "Bayesian analysis in expert systems," Statist. Sci., vol. 8, pp. 219-283, 1993.
18. D. Spiegelhalter and S. Lauritzen, "Sequential updating of conditional probabilities on directed graphical models," Networks, vol. 20, pp. 579-605, 1990.
19. D. Worthington, "The use of models in the self-management of insulin-dependent diabetes mellitus," Comput. Meth. Progr. Biomed., vol. 32, pp. 233-239, 1990.