Interpretable machine learning for cardiovascular risk prediction: Insights from NHANES dietary and health data

• Md Ahiduzzaman ,

  Contributed equally to this work with: Md Ahiduzzaman, Md Nahid Hasan

  Roles Data curation, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: Md.Ahiduzzaman@ucf.edu

  Affiliation Department of Statistics and Data Science, University of Central Florida, Orlando, Florida, United States of America

  https://orcid.org/0009-0004-1404-6453

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• Md Nahid Hasan

  Contributed equally to this work with: Md Ahiduzzaman, Md Nahid Hasan

  Roles Methodology, Supervision, Writing – review & editing

  Affiliation Department of Mathematics, East Texas A&M University, Commerce, Texas, United States of America

  https://orcid.org/0000-0002-9069-1815

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