Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression

BACKGROUND: The debate of whether machine learning models offer advantages over standard statistical methods when making predictions is ongoing. We discuss the use of a meta-learner model combining both approaches as an alternative. METHODS: To illustrate the development of a meta-learner, we used a...

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Detalles Bibliográficos
Autores principales: Liu, Qiang, Salanti, Georgia, De Crescenzo, Franco, Ostinelli, Edoardo Giuseppe, Li, Zhenpeng, Tomlinson, Anneka, Cipriani, Andrea, Efthimiou, Orestis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112573/
https://www.ncbi.nlm.nih.gov/pubmed/35578254
http://dx.doi.org/10.1186/s12888-022-03986-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112573/
https://www.ncbi.nlm.nih.gov/pubmed/35578254
http://dx.doi.org/10.1186/s12888-022-03986-0

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