Barrientos MRE, Cruz RN, Acosta MHG, Rabatte SI, Pavón LP, Gogeascoechea TMC, Blázquez MMSL

Language: Spanish
References: 8
Page: 33-37
PDF size: 482.50 Kb.

ABSTRACT

In this paper, we present the evaluation of Bayesian Networks on the classification of medical data. Their qualitative and quantitative nature permits representing the probabilistic relationships among variables as well as carrying out inferences such as prediction, diagnosis and decision-making. The medical area has used them for analysis and processing of data. Here, we evaluate the performance of Bayesian Networks on medical databases related to diseases such as Breast Cancer, Tumors, Diabetes and Hepatitis. In order to carry out such a task, we tested different Bayesian Network classifiers so that we can determine whether Bayesian Networks are a powerful and reliable tool for diagnosis and decision-making in this area.

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