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Fuzzy c-Means as a Decision Support Tool for Liver Disease Diagnosis Based on Data Analysis

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Optimization, Learning Algorithms and Applications (OL2A 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2280))

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Abstract

The liver is a vital organ responsible for numerous essential functions in the body. Thus, liver disorders can have severe consequences on overall health and well-being. Early diagnosis and treatment of liver disorders are crucial to prevent complications such as cirrhosis, liver failure and liver cancer. In this work, a data analysis system aims to identify the most important features in defining liver disease and categorize sick patients according to the severity of the disease. The Indian Liver Patient Dataset was evaluated using a pre-processing data analysis method that considered the Z-score, the correlation, and the Recursive Feature Elimination. After identifying the most important characteristics of the patients, the Fuzzy c-means algorithm was used to classify them based on the severity of the disease. The results of the proposed methodology proved to be effective in creating a decision support system, since it was possible to identify four levels of severity among the patients.

This work has been supported by FCT Fundação para a Ciência e Tecnologia within the R&D Units Project Scope UIDB/00319/2020, UIDB/05757/2020 (DOI: 10.54499/UIDB/057 57/2020), UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020) and Erasmus Plus KA2 within the project 2021-1-PT01-KA220-HED-000023288. Beatriz Flamia Azevedo is supported by FCT Grant Reference SFRH/BD/07427/2021.

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Author information

Authors and Affiliations

  1. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Laboratório Associado para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Instituto Politécnico de Bragança, 5300-252, Bragança, Portugal

    Gabriel A. Leite, Beatriz Flamia Azevedo, Maria F. Pacheco, Florbela P. Fernandes & Ana I. Pereira

  2. Unidade de Transplante Hepático e Pancreático, Porto, Portugal

    Sofia Ribeiro Ferreira

  3. Unidade Local de Saúde de Santo António, Porto, Portugal

    Sofia Ribeiro Ferreira

Authors
  1. Gabriel A. Leite
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  2. Beatriz Flamia Azevedo
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  3. Sofia Ribeiro Ferreira
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  4. Maria F. Pacheco
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  5. Florbela P. Fernandes
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  6. Ana I. Pereira
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Corresponding author

Correspondence to Gabriel A. Leite .

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Editors and Affiliations

  1. Instituto Politécnico de Bragança, Bragança, Portugal

    Ana I. Pereira

  2. Instituto Politécnico de Bragança, Bragança, Portugal

    Florbela P. Fernandes

  3. Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Bragança, Bragança, Portugal

    João P. Coelho

  4. Instituto Politécnico de Bragança, Bragança, Portugal

    João P. Teixeira

  5. Department of Electrical Engineering, Instituto Politécnico de Bragança, Bragança, Portugal

    José Lima

  6. Instituto Politécnico de Bragança, Bragança, Portugal

    Maria F. Pacheco

  7. Instituto Politécnico de Bragança, Bragança, Portugal

    Rui P. Lopes

  8. Dept ISAATC, Universidad de La Laguna, San Cristóbal de La Laguna, Spain

    Santiago T. Álvarez

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Leite, G.A., Azevedo, B.F., Ferreira, S.R., Pacheco, M.F., Fernandes, F.P., Pereira, A.I. (2024). Fuzzy c-Means as a Decision Support Tool for Liver Disease Diagnosis Based on Data Analysis. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2024. Communications in Computer and Information Science, vol 2280. Springer, Cham. https://doi.org/10.1007/978-3-031-77426-3_7

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