Data Mining for Healthcare Decision Making

This paper presents a case study with the application of machine learning techniques to generate knowledge about breast cancer in Goiás / Brazil regarding morbidity and access to health services. Data mining techniques were used, involving descriptive and predictive data analysis, revealing characteristic patterns of the Goiás municipalities that allowed their grouping by similarity. The results suggest that such models can be used to generate information that supports decision making processes in the definition and applicability of public health policies.