Mining administrative and clinical Diabetes data with Temporal Association Rules

Stefano Concaro, Lucia Sacchi, Carlo Cerra, Riccardo Bellazzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Regional Healthcare Agency (ASL) of Pavia has been collecting and maintaining a central data repository which stores both administrative and clinical healthcare data about the population of Pavia area. The analysis of such integrated databases could greatly help to extract useful information for the assessment of health care delivery process. In this paper we focus our attention on the care delivery flow of Diabetes Mellitus, and we show the application of an algorithm for the extraction of Temporal Association Rules on sequences of hybrid events. This method allows to properly exploit the integration of different healthcare information sources, and can be used to evaluate the pertinence of the care delivery flow for specific pathologies, in order to reassess or refine the inappropriate practices which lead to unsatisfactory outcomes.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
Pages574-578
Number of pages5
Volume150
DOIs
Publication statusPublished - 2009
Event22nd International Conference on Medical Informatics Europe, MIE 2009 - Sarajevo, Bosnia and Herzegovina
Duration: Aug 30 2009Sep 2 2009

Other

Other22nd International Conference on Medical Informatics Europe, MIE 2009
CountryBosnia and Herzegovina
CitySarajevo
Period8/30/099/2/09

Keywords

  • Diabetes mellitus
  • Healthcare data
  • Hybrid events
  • Temporal association rules
  • Temporal data mining

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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