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EHR Data Preparation for Case Based Reasoning Construction

  • Conference paper
Advanced Machine Learning Technologies and Applications (AMLTA 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 488))

Abstract

Case Based Reasoning (CBR) is the first choice in experience-based problems as diagnosis. However, building a case base for CBR is a challenging. Electronic Health Record (EHR) data can provide a starting point for building case base, but it needs a set of preprocessing steps. In this paper, we propose a case-base preparation framework for CBR systems. This framework consists of three main phases including data preparation, fuzzification, and coding. This paper will focus only on the data-preprocessing phase to prepare the EHR database as a knowledge source for CBR cases. It will use many machine-learning algorithms for feature selection and weighing, normalization, and others. As a case study, we will apply these algorithms on diabetes diagnosis data set. To check the effect of data preparation steps, a CBR prototype will being designed for diabetes diagnosis and prediction of its complications as kidney failure. The results show an enhancement to the case retrieval process of the implemented CBR system.

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Author information

Authors and Affiliations

  1. Faculty of Computers & Information, Mansoura University, Egypt

    Shaker El-Sappagh, Mohammed Elmogy & A. M. Riad

  2. Faculty of Computers & Information, Minia University, Egypt

    Shaker El-Sappagh

  3. Faculty of Medicine, Mansoura University, Mansoura, Egypt

    Hosam Zaghlol

  4. Pharmacognosy Department, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt

    Farid A. Badria

Authors
  1. Shaker El-Sappagh
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  2. Mohammed Elmogy
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  3. A. M. Riad
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  4. Hosam Zaghlol
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  5. Farid A. Badria
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Editor information

Editors and Affiliations

  1. Cairo University, Egypt

    Aboul Ella Hassanien

  2. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Benha University, Benha, Egypt

    Ahmad Taher Azar

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© 2014 Springer International Publishing Switzerland

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El-Sappagh, S., Elmogy, M., Riad, A.M., Zaghlol, H., Badria, F.A. (2014). EHR Data Preparation for Case Based Reasoning Construction. In: Hassanien, A.E., Tolba, M.F., Taher Azar, A. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2014. Communications in Computer and Information Science, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-13461-1_45

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  • DOI: https://doi.org/10.1007/978-3-319-13461-1_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13460-4

  • Online ISBN: 978-3-319-13461-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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