Mining California Vital Statistics Data

  • Authors:
  • Du Zhang;Quoc Luan Ha;Meiliu Lu

  • Affiliations:
  • -;-;-

  • Venue:
  • ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
  • Year:
  • 2001

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Abstract

Vital statistics data offer a fertile ground for data mining.In this paper, we discuss the results of a data miningproject on the causes of death aspect of the vital statisticsdata in the state of California. A data mining tool calledCubist is used to build predictive models out of two millioncases over a nine-year period. The objective of our studyis to discover knowledge that can be used to gain insightinto various aspects of mortality in California, to predicthealth issues related to the causes of death, to offer an aidto decision-or policy-making process, and to provideuseful information services to the customers. The resultsobtained in our study contain valuable new information.