Data analysis and data Mining: Current issues in biomedical informatics

Riccardo Bellazzi, M. Diomidous, I. N. Sarkar, K. Takabayashi, A. Ziegler, A. T. McCray

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

Background: Medicine and biomedical sciences have become data-intensive fields, which, at the same time, enable the application of data-driven approaches and require sophisticated data analysis and data mining methods. Biomedical informatics provides a proper interdisciplinary context to integrate data and knowledge when processing available information, with the aim of giving effective decision-making support in clinics and translational research. Objectives: To reflect on different perspectives related to the role of data analysis and data mining in biomedical informatics. Methods: On the occasion of the 50th year of Methods of Information in Medicine a symposium was organized, which reflected on opportunities, challenges and priorities of or-ganizing, representing and analysing data, information and knowledge in biomedicine and health care. The contributions of experts with a variety of backgrounds in the area of biomedical data analysis have been collected as one outcome of this symposium, in order to provide a broad, though coherent, overview of some of the most interesting aspects of the field. Results: The paper presents sections on data accumulation and data-driven approaches in medical informatics, data and knowledge integration, statistical issues for the evaluation of data mining models, translational bio - informatics and bioinformatics aspects of genetic epidemiology. Conclusions: Biomedical informatics represents a natural framework to properly and effectively apply data analysis and data mining methods in a decision-making context. In the future, it will be necessary to preserve the inclusive nature of the field and to foster an increasing sharing of data and methods between researchers.

Original languageEnglish
Pages (from-to)536-544
Number of pages9
JournalMethods of Information in Medicine
Volume50
Issue number6
DOIs
Publication statusPublished - 2011

Keywords

  • Biomedical informatics
  • Data analysis
  • Data mining
  • Data-driven methods
  • Translational bioinformatics

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  • Cite this

    Bellazzi, R., Diomidous, M., Sarkar, I. N., Takabayashi, K., Ziegler, A., & McCray, A. T. (2011). Data analysis and data Mining: Current issues in biomedical informatics. Methods of Information in Medicine, 50(6), 536-544. https://doi.org/10.3414/ME11-06-0002