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Reliable and Interpretable Cross-Population Machine Learning Framework for Chronic Kidney Disease Prediction

  • Canterbury Christ Church University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)876-881
Number of pages6
Journal2025 5th International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
DOIs
Publication statusPublished - 17 Dec 2025

Keywords

  • Machine learning
  • Chronic kidney disease
  • Cross-population

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