Using Linked Data in the Data Integration for Maternal and Infant Death Risk of the SUS in the GISSA Project

  • Renato Freitas IFCE
  • Cleilton Rocha Instituto Atlântico
  • Oton Braga IFCE
  • Gabriel Lopes IFCE
  • Odorico Monteiro Congresso Nacional
  • Mauro Oliveira IFCE

Resumo


Making good governance decisions is a constant challenge for Public Health administration. Health managers need to make data analysis in order to identify several health problems. In Brazil, these data are made available by DATASUS. Generally, they are stored in distinct and heterogeneous databases. The Linked Data approach allow a homogenized view of the data as a unique basis. This article proposes a ontology-based model and Linked Data to integrate datasets and calculate the probability of maternal and infant death risk in order to give support in decision-making in the GISSA project.
Publicado
17/10/2017
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FREITAS, Renato; ROCHA, Cleilton; BRAGA, Oton; LOPES, Gabriel; MONTEIRO, Odorico; OLIVEIRA, Mauro. Using Linked Data in the Data Integration for Maternal and Infant Death Risk of the SUS in the GISSA Project. In: ANAIS PRINCIPAIS DO SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 23. , 2017, Gramado. Anais Principais do XXIII Simpósio Brasileiro de Sistemas Multimídia e Web. Porto Alegre: Sociedade Brasileira de Computação, oct. 2017 . p. 193-196.