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Interactive survival analysis with the OCDM system: From development to application

Author

Listed:
  • Sebastian Klenk

    (Stuttgart University)

  • Jürgen Dippon

    (Stuttgart University)

  • Peter Fritz

    (Institute for Digital Medicine)

  • Gunther Heidemann

    (Stuttgart University)

Abstract

Medical data mining is currently actively pursued in computer science and statistical research but not in medical practice. The reasons therefore lie in the difficulties of handling and statistically analyzing medical data. We have developed a system that allows practitioners in the field to interactively analyze their data without assistance of statisticians or data mining experts. In the course of this paper we will introduce data mining of medical data and show how this can be achieved for survival data. We will demonstrate how to solve common problems of interactive survival analysis by presenting the Online Clinical Data Mining (OCDM) system. Thereby the main focus is on similarity based queries, a new method to select similar cases based on their covariables and the influence of these on their survival.

Suggested Citation

  • Sebastian Klenk & Jürgen Dippon & Peter Fritz & Gunther Heidemann, 2009. "Interactive survival analysis with the OCDM system: From development to application," Information Systems Frontiers, Springer, vol. 11(4), pages 391-403, September.
    • Handle: RePEc:spr:infosf:v:11:y:2009:i:4:d:10.1007_s10796-009-9152-5
    DOI: 10.1007/s10796-009-9152-5
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    References listed on IDEAS

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    1. Dippon, J. & Fritz, P. & Kohler, M., 2002. "A statistical approach to case based reasoning, with application to breast cancer data," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 579-602, September.
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    Cited by:

    1. Hamed M. Zolbanin & Dursun Delen & Durand Crosby & David Wright, 2020. "A Predictive Analytics-Based Decision Support System for Drug Courts," Information Systems Frontiers, Springer, vol. 22(6), pages 1323-1342, December.
    2. Hamed M. Zolbanin & Dursun Delen & Durand Crosby & David Wright, 0. "A Predictive Analytics-Based Decision Support System for Drug Courts," Information Systems Frontiers, Springer, vol. 0, pages 1-20.

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