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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...
Autores principales: | Gomez-Rios, Inmaculada, Egea-Lopez, Esteban, Ortiz Ruiz, Antonio José |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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 |
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