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

Abstract 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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Qiang Liu, Georgia Salanti, Franco De Crescenzo, Edoardo Giuseppe Ostinelli, Zhenpeng Li, Anneka Tomlinson, Andrea Cipriani, Orestis Efthimiou
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMC 2022-05-01
Sarja:BMC Psychiatry
Aiheet:
Depression
PHQ-9
Dropout
Machine learning
Statistical model
Linkit:https://doi.org/10.1186/s12888-022-03986-0
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