Teaching probabilistic medical reasoning with the Elvira software

F.J. Díez

doi:10.1055/s-0038-1638186

Yearbook of Medical Informatics, Table of Contents

Yearb Med Inform 2004; 13(01): 175-180
DOI: 10.1055/s-0038-1638186

Research and Education

Georg Thieme Verlag KG Stuttgart

Teaching probabilistic medical reasoning with the Elvira software

F.J. Díez

¹Dept. Artificial Intelligence Universidad Nacional de Educación a Distancia Madrid, Spain

› Author Affiliations

References
1 Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, CA: Morgan Kaufmann; 1988
2 Jensen FV. Bayesian Networks and Decision Graphs. New York: Springer; 2001
3 Neapolitan RE. Probabilistic Reasoning in Expert Systems: Theory and Algorithms. New York: Wiley-Interscience; 1990
4 Druzdzel MJ, van der Gaag LC. Building probabilistic networks: "Where do the numbers come from?” (Guest editors’ introduction). IEEE Transactions on Knowledge and Data Engineering 2000; 12: 481-6.
5 Druzdzel M, Díez FJ. Combining knowledge from different sources in probabilistic models. J Machine Learning Research 2003; 4: 295-316.
6 Sackett DL, Richardson WS, Rosenberg W, Haynes RB. Evidence-based Medicine. How to Practice & Teach EBM. 2nd ed. New York: Churchill Livingstone; 2000
7 Raiffa H, Schlaifer RO. Applied Statistical Decision Theory. Cambridge, MA: Harvard Business School; 1961
8 Howard RA, Matheson JE. Influence diagrams. In Howard RA, Matheson JE. editors Readings on the Principles and Applications of Decision Analysis. Menlo Park, CA: Strategic Decisions Group; 1984: 719-762.
9 Olmsted SM. On Representing and Solving Decision Problems. PhD thesis. Dept. Engineering-Economic Systems. Stanford University, CA; 1983
10 The Elvira Consortium. Elvira: An environment for creating and using probabilistic graphical models. Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM’02). Cuenca, Spain: 2002. Nov.
11 Lacave C, Onisko A, Díez FJ. Debugging medical Bayesian networks with Elvira’s explanation facility. Conference on Artificial Intelligence in Medicine (AIME-2001), Workshop on Bayesian Models in Medicine. Cascais, Portugal: 2001. Jul.
12 Galán SF, Aguado F, Díez FJ, Mira J. NasoNet. Modelling the spread of nasopharyngeal cancer with temporal Bayesian networks. Artificial Intelligence in Medicine 2002; 25: 247-254.
13 Lacave C, Onisko A, Díez FJ. Knowledge acquisition in Prostanet, a Bayesian network for diagnosing prostate cancer. Seventh International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES-2003). Oxford, UK: 2003. Sep.