Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal

Susana Lavado; Eduardo Costa; Niclas F. Sturm; Johannes S. Tafferner; Octávio Rodrigues; Pedro Pita Barros; Leid Zejnilovic

doi:10.1371/journal.pone.0312075

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Open Access

Peer-reviewed

Research Article

Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal

Susana Lavado ,

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

* E-mail: susanalavado@novasbe.pt

Affiliation Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal

https://orcid.org/0000-0002-1088-6357

⨯
Eduardo Costa,

Roles Conceptualization, Writing – original draft, Writing – review & editing

Affiliation CEGIST - Centre for Management Studies, Instituto Superior Técnico, Universidade de Lisboa, Carcavelos, Portugal

https://orcid.org/0000-0002-4347-6338

⨯
Niclas F. Sturm,

Roles Data curation, Formal analysis, Visualization, Writing – review & editing

Affiliation Nova School of Information Management, Universidade Nova de Lisboa, Carcavelos, Portugal

https://orcid.org/0000-0002-2070-844X

⨯
Johannes S. Tafferner,

Roles Data curation, Formal analysis, Visualization, Writing – review & editing

Affiliation Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal

https://orcid.org/0009-0002-8470-3872

⨯
Octávio Rodrigues,

Roles Conceptualization, Resources, Supervision

Affiliation Associação Portuguesa Promotora de Saúde e Higiene Oral, Seixal, Portugal
⨯
Pedro Pita Barros,

Roles Conceptualization, Writing – review & editing

Affiliation Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal
⨯
Leid Zejnilovic

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal
⨯

Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal

Susana Lavado,
Eduardo Costa,
Niclas F. Sturm,
Johannes S. Tafferner,
Octávio Rodrigues,
Pedro Pita Barros,
Leid Zejnilovic

Published: January 24, 2025
https://doi.org/10.1371/journal.pone.0312075

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