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Homogeneous Clustering of Brazilian Municipalities Based on Structuring Health Care through Concept Maps

Author

Listed:
  • Sergio Orlando Antoun Netto

    (Department of Cartography, Engineering School, Rio de Janeiro State University, Brazil)

  • Marcos Pereira Estellita Lins

    (Production Engineering POLI-COPPE, Rio de Janeiro Federal University, Brazil)

Abstract

This work aims to apply a new approach to support the formulation and structuring of health care in Brazilian municipalities using concept maps and data mining. The analysis of the results and conclusions can provide support for public policies through the determination of indicators of municipal performance in the future. Homogeneous clustering generates adequate sets for the application of benchmarking methods that compare data from several decision-making units.

Suggested Citation

  • Sergio Orlando Antoun Netto & Marcos Pereira Estellita Lins, 2014. "Homogeneous Clustering of Brazilian Municipalities Based on Structuring Health Care through Concept Maps," Research in Applied Economics, Macrothink Institute, vol. 6(4), pages 40-52, December.
    • Handle: RePEc:mth:raee88:v:6:y:2014:i:4:p:40-52
    as

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    References listed on IDEAS

    as
    1. Yasar A. Ozcan, 2008. "Health Care Benchmarking and Performance Evaluation," International Series in Operations Research and Management Science, Springer, number 978-0-387-75448-2, April.
    2. Yasar A. Ozcan, 2014. "Evaluation of Performance in Health Care," International Series in Operations Research & Management Science, in: Health Care Benchmarking and Performance Evaluation, edition 2, chapter 0, pages 3-14, Springer.
    3. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, July.
    4. Yasar A. Ozcan, 2014. "Health Care Benchmarking and Performance Evaluation," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4899-7472-3, April.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    Data Mining; Concept Map and Health Care;

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