USING CLUSTERING SOFTWARE FOR EXPLORING SPATIAL AND TEMPORAL PATTERNS IN NON-COMMUNICABLE DISEASES

  • Mariana Nagy "Aurel Vlaicu" University of Arad Romania Department of Mathematics and Computer Science / Head of Department
  • Dana Negru Arad, Public Health Department

Abstract

The paper deals with clustering methods that can be used for detecting spatial and temporal patterns in large databases. The basics of some common methods are presented. The authors use the cancer records in Arad County for the last 55 years to apply methods for cluster detection. The statistical approach reveals the existence of several spatial and one temporal cluster. Research will be continued by further analysis in order to refine the results and help authorities in defining correct health policies.

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Published
2014-11-26
How to Cite
Nagy, M., & Negru, D. (2014). USING CLUSTERING SOFTWARE FOR EXPLORING SPATIAL AND TEMPORAL PATTERNS IN NON-COMMUNICABLE DISEASES. European Scientific Journal, ESJ, 10(33). https://doi.org/10.19044/esj.2014.v10n33p%p