Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses

• El Mehdi Chouit ,

  Roles Conceptualization, Data curation, Funding acquisition, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

  * E-mail: elmehdi.chouit@gmail.com

  Affiliation RAISS Laboratory, Department of Mathematics and Computer Science, National Institute of Posts and Telecommunications (INPT), Rabat, Morocco

  https://orcid.org/0000-0003-0062-1694

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• Mohamed Rachdi,

  Roles Conceptualization, Formal analysis, Methodology, Software, Validation

  Affiliation TIM Laboratory, Faculty of sciences Ben M’sik, ENSAD, Hassan II University, Casablanca, Morocco

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• Mostafa Bellafkih,

  Roles Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

  Affiliation RAISS Laboratory, Department of Mathematics and Computer Science, National Institute of Posts and Telecommunications (INPT), Rabat, Morocco

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• Brahim Raouyane

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Faculty of Sciences Ain Chock, University Hassan II (FSAC), Casablanca, Morocco

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