Business Intelligence for Cancer Prevention and Control: A Case Study at the Brazilian National Cancer Institute

  • Antônio Augusto Gonçalves
  • Cezar Cheng
  • Carlos Henrique Fernandes Martins
  • José Geraldo Pereira Barbosa
  • Sandro Luís Freire de Castro Silva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)


The number of healthcare organizations that successfully use data science in their clinical and operational decision making processes is increasing substantially. Studies show that there is a big potential regarding the use of analytical tools to support epidemiologic cancer research. The use of data mining to support the assessment of early detection programs is one of the main strategies of Brazil’s cancer control program and motivated the Brazilian National Cancer Institute (INCA) to develop applications to improve decision making processes. This article presents the development of Business intelligence (BI) systems employed on the management, processing and analysis of a large-scale data for cancer prevention and control.


Business intelligence Cancer prevention and control Data science Healthcare 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Antônio Augusto Gonçalves
    • 1
    • 2
  • Cezar Cheng
    • 1
  • Carlos Henrique Fernandes Martins
    • 1
  • José Geraldo Pereira Barbosa
    • 2
  • Sandro Luís Freire de Castro Silva
    • 1
  1. 1.Instituto Nacional do Câncer - COAE Tecnologia da InformaçãoRio de JaneiroBrazil
  2. 2.Universidade Estácio de Sá – MADERio de JaneiroBrazil

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