从医学本体生成贝叶斯网络

2013 8th Computing Colombian Conference (8CCC) Pub Date : 2013-10-21 DOI:10.1109/COLOMBIANCC.2013.6637538

F. Rodrigues, Marta Rosecler Bez, Cecília Dias Flores

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引用次数: 5

摘要

这项工作提出了一种从医学本体半自动生成用于医学诊断和治疗的贝叶斯网络的方法。给出了文献综述的形式和相关工作，以及制定的假设，开发的算法和评价实验的准备。结果表明，弧线和节点生成的正确率分别为82.1%和90.5%。

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Generating Bayesian networks from medical ontologies

This work presents the development of a method for semiautomatically generating Bayesian networks for medical diagnosis and treatment from medical ontologies. Bibliographic review of the formalisms and related works are shown, as well as the formulated hypotheses, developed algorithm and the preparation of the evaluation experiment. Results pointed to correction rates of 82.1% and 90.5% for arcs and nodes generation, respectively.

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来源期刊

2013 8th Computing Colombian Conference (8CCC)

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