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Methods Inf Med. 2011;50(6):536-44. doi: 10.3414/ME11-06-0002.

Data analysis and data mining: current issues in biomedical informatics.

Author information

  • 1University of Pavia, Dipartimento di Informatica e Sistemistica, Via Ferrata 1, 27100 Pavia (PV), Italy. riccardo.bellazzi@unipv.it

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 organizing, 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 bioinformatics 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.

PMID:
22146916
[PubMed - indexed for MEDLINE]
PMCID:
PMC3233983
Free PMC Article
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