Literature DB >> 20503609

Donor research and matching system based on data mining in organ transplantation.

Ali Serhan Koyuncugil1, Nermin Ozgulbas.   

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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Year:  2010        PMID: 20503609     DOI: 10.1007/s10916-008-9236-7

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  7 in total

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Authors:  Brenda J Vason
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3.  The history and activities of transplantation in Turkey.

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Journal:  Transplant Proc       Date:  2005-09       Impact factor: 1.066

4.  Pathology information systems: data mining leads to knowledge discovery.

Authors:  J M McDonald; S Brossette; S A Moser
Journal:  Arch Pathol Lab Med       Date:  1998-05       Impact factor: 5.534

5.  Development of an information model for storing organ donor data within an electronic medical record.

Authors:  Catherine J Staes; Stanley M Huff; R Scott Evans; Scott P Narus; Cyndalynn Tilley; John B Sorensen
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

6.  Predicting survival time for kidney dialysis patients: a data mining approach.

Authors:  Andrew Kusiak; Bradley Dixon; Shital Shah
Journal:  Comput Biol Med       Date:  2005-05       Impact factor: 4.589

7.  Coordinating organ transplantation in Turkey: effects of the National Coordination Center.

Authors:  Ibrahim Tokalak; Hamdi Karakayali; Gökhan Moray; Nevzat Bilgin; Mehmet Haberal
Journal:  Prog Transplant       Date:  2005-09       Impact factor: 1.065

  7 in total
  2 in total

1.  Electronic hand-drafting and picture management system.

Authors:  Tsung-Han Yang; Cheng-Yuan Ku; David C Yen; Wen-Huai Hsieh
Journal:  J Med Syst       Date:  2011-04-14       Impact factor: 4.460

2.  Classification Models to Predict Survival of Kidney Transplant Recipients Using Two Intelligent Techniques of Data Mining and Logistic Regression.

Authors:  M Nematollahi; R Akbari; S Nikeghbalian; C Salehnasab
Journal:  Int J Organ Transplant Med       Date:  2017-05-01
  2 in total

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