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ORIENTATE: automated machine learning classifiers for oral health prediction and research

BACKGROUND: The application of data-driven methods is expected to play an increasingly important role in healthcare. However, a lack of personnel with the necessary skills to develop these models and interpret its output is preventing a wider adoption of these methods. To address this gap, we introd...

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Detalles Bibliográficos
Autores principales: Gomez-Rios, Inmaculada, Egea-Lopez, Esteban, Ortiz Ruiz, Antonio José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283267/
https://www.ncbi.nlm.nih.gov/pubmed/37340367
http://dx.doi.org/10.1186/s12903-023-03112-w