Foreseeing promising bio-medical findings for effective applications of data mining

  • Authors:
  • Stefano Bonacina;Marco Masseroli;Francesco Pinciroli

  • Affiliations:
  • Department of Bioengineering, Politecnico of Milan, Milan, Italy;Department of Bioengineering, Politecnico of Milan, Milan, Italy;Department of Bioengineering, Politecnico of Milan, Milan, Italy

  • Venue:
  • ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
  • Year:
  • 2005

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Abstract

The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have led to huge amounts of biomedical and health-care data accumulated in several repositories. Unfortunately, the process of analysis of such data represents a complex task also because data volumes grow exponentially so manual analysis and interpretation become impractical. Fortunately, knowledge discovery in databases (KDD) and data mining (DM) are powerful tools available to medical and research people for help them in explore data and discover useful knowledge. To assess the spread of DM and KDD in biomedicine and health care, we designed and performed a search database of biomedical and health-care scientific literature, for the year interval 1997-2004, and analyzed the obtained results. There has been an increase of application of DM methods in literature of bio-medical informatics research most of which in bioinformatics and genomic area.