International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 177 - Number 30 |
Year of Publication: 2020 |
Authors: Matheus Carvalho Peixoto, Kátia Kelvis Cassiano Lozano, Talles Marcelo Gonçalves De Andrade Barbosa |
10.5120/ijca2020919798 |
Matheus Carvalho Peixoto, Kátia Kelvis Cassiano Lozano, Talles Marcelo Gonçalves De Andrade Barbosa . Data Mining for Healthcare Decision Making. International Journal of Computer Applications. 177, 30 ( Jan 2020), 39-42. DOI=10.5120/ijca2020919798
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.