Low-Cost and Scalable Machine Learning Model for Identifying Children and Adolescents with Poor Oral Health Using Survey Data: An Empirical Study in Portugal

AuthID
P-018-028
7
Author(s)
Lavado, S
·
Costa, E
·
Sturm, F
·
Tafferner, S
·
Rodrigues, O
·
Zejnilovic, L
1
Editor(es)
Kielbassa,AM
Tipo de Documento
Article
Year published
2025
Publicado
in PLoS ONE, ISSN: 1932-6203
Volume: 20, Número: 1 January, Páginas: e0312075
Indexing
Publication Identifiers
SCOPUS: 2-s2.0-85216376937
Source Identifiers
ISSN: 1932-6203
Export Publication Metadata
Info
At this moment we don't have any links to full text documens.