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Donor Research and Matching System Based on Data Mining in Organ Transplantation

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Abstract

It is very important to identify the appropriate donor in organ transplantation under the time constraint. Clearly, adequate time must be spent in appropriate donor research in that kind of vital operation. On the other hand, time is very important to search for other alternatives in case of inappropriate donor. However, the possibility for determining the most probable donors as fast as possible has an great importance in using time efficiently. From this point view, the main objective of this paper is developing a system which provides probabilistic prior information in donor transplantation via data mining. While the sytem development process, the basic element is the data of successful organ transplantations. Then, the hidden information and patterns will be discovered from this data. Therefore, this process requires the data mining methods from its definition. In this study, an appropriate donor detection system design based on data mining is suggested.

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Authors and Affiliations

  1. Capital Markets Board of Turkey, Department of Research, Eskisehir Yolu 8. km., No: 156, Balgat, 06530, Ankara, Turkey

    Ali Serhan Koyuncugil

  2. Faculty of Health Sciences, Department of Healthcare Management, Baskent University, Eskisehir Yolu 20. km., 06810, Ankara, Turkey

    Nermin Ozgulbas

Authors
  1. Ali Serhan Koyuncugil
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  2. Nermin Ozgulbas
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Correspondence to Ali Serhan Koyuncugil.

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Koyuncugil, A.S., Ozgulbas, N. Donor Research and Matching System Based on Data Mining in Organ Transplantation. J Med Syst 34, 251–259 (2010). https://doi.org/10.1007/s10916-008-9236-7

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  • DOI: https://doi.org/10.1007/s10916-008-9236-7

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