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Preprocessing Raw Data in Clinical Medicine for a Data Mining Purpose

Author

Listed:
  • Peterková Andrea
  • Michaľčonok German

    (Institute of Applied Informatics, Automation and Mechatronics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic)

Abstract

Dealing with data from the field of medicine is nowadays very current and difficult. On a global scale, a large amount of medical data is produced on an everyday basis. For the purpose of our research, we understand medical data as data about patients like results from laboratory analysis, results from screening examinations (CT, ECHO) and clinical parameters. This data is usually in a raw format, difficult to understand, non-standard and not suitable for further processing or analysis. This paper aims to describe the possible method of data preparation and preprocessing of such raw medical data into a form, where further analysis algorithms can be applied.

Suggested Citation

  • Peterková Andrea & Michaľčonok German, 2016. "Preprocessing Raw Data in Clinical Medicine for a Data Mining Purpose," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 24(39), pages 117-122, December.
    • Handle: RePEc:vrs:repfms:v:24:y:2016:i:39:p:117-122:n:15
    DOI: 10.1515/rput-2016-0025
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