Bayesian networks in biomedicine and health-care

Author:

Lucas Peter J.F.,van der Gaag Linda C.,Abu-Hanna Ameen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference38 articles.

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2. Using probabilistic and decision-theoretic methods in treatment and prognosis modeling;Andreassen;Artif. Intell. Med.,1999

3. Andreassen S, Woldbye M, Falck B, Andersen SK. MUNIN—a causal probabilistic network for interpretation of electromyographic findings. In: McDermott J, editor. Proceedings of the 10th International Joint Conference on Artificial Intelligence. Los Altos, CA: Morgan Kaufmann, 1987. p. 366–72.

4. Cheng J, Bell D, Liu W. Learning Bayesian networks from data: an efficient approach based on information theory. In: Proceeding of the Sixth ACM International Conference on Information and Knowledge Management, 1997. p. 325–31.

5. Cheng J, Greiner R. Comparing Bayesian network classifiers. In: Proceedings of the UAI’99. San Francisco, CA: Morgan Kaufmann, 1999. p. 101–7.

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