In the state of Tocantins, leprosy is considered hyperendemic according to the criteria
of the Ministry of Health. Due to the high rate of cases, the disease remains one of the
public health problems in the state. Public health management organizations are increasingly
seeking to increase efficiency in health management, with the aim of obtaining
information to use as a basis for epidemic control. Therefore, this project aims to develop
a proposal for data mart where it is possible to apply statistics and data mining
techniques. The phases performed in this work are: pre-processing, the creation of a data
mart, exploratory analysis, calculation of indicators, inference with Bayes theorem and
data classification. Analyzing the results, it was possible to deduce some probabilities and
highlight characteristics of patients with greater influences to have the operational classification
as multibacillary. It is concluded that the objectives of the work were achieved,
and future work in the area of public health was proposed.
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