Data Analysis and Data Mining: Current Issues in Biomedical Informatics

作者：Bellazzi R^*; Diomidous M; Sarkar I N; Takabayashi K; Ziegler A; McCray A T

来源：Methods of Information in Medicine, 2011, 50(6): 536-544.

DOI：10.3414/ME11-06-0002

• Biomedical informatics
• data mining
• data analysis
• data-driven methods
• translational bioinformatics

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.

• 出版日期2011
• 单位河北医科大学