Evaluating Modeling and Validation Strategies for Tooth Loss

Prediction models learn patterns from available data (training) and are then validated on new data (testing). Prediction modeling is increasingly common in dental research. We aimed to evaluate how different model development and validation steps affect the predictive performance of tooth loss predi...

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Detalles Bibliográficos
Autores principales: Krois, J., Graetz, C., Holtfreter, B., Brinkmann, P., Kocher, T., Schwendicke, F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Research Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710618/
https://www.ncbi.nlm.nih.gov/pubmed/31361174
http://dx.doi.org/10.1177/0022034519864889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710618/
https://www.ncbi.nlm.nih.gov/pubmed/31361174
http://dx.doi.org/10.1177/0022034519864889

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