A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana

• Eric Nyarko ,

  Roles Conceptualization, Formal analysis, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: ericnyarko@ug.edu.gh

  Affiliation Department of Statistics and Actuarial Science, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana

  https://orcid.org/0000-0002-1666-7489

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• Edmund Fosu Agyemang,

  Roles Writing – original draft, Writing – review & editing

  Affiliations Department of Statistics and Actuarial Science, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana, School of Mathematical and Statistical Science, College of Sciences, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America

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• Ebenezer Kwesi Ameho,

  Roles Data curation, Investigation, Project administration

  Affiliation Department of Statistics and Actuarial Science, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana

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• Louis Agyekum,

  Roles Validation, Visualization, Writing – review & editing

  Affiliation Department of Statistics and Actuarial Science, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana

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• José María Gutiérrez,

  Roles Validation, Visualization, Writing – review & editing

  Affiliation Instituto Clodomiro Picado, Facultad de Microbiología, Universidad de Costa Rica, San José, Costa Rica

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• Eduardo Alberto Fernandez

  Roles Writing – review & editing

  Affiliation Department of Health Sciences, Brock University, St Catharines, Ontario, Canada

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