Predicting Low Cognitive Ability at Age 5—Feature Selection Using Machine Learning Methods and Birth Cohort Data

Objectives: In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to predict low cognitive ability at 5 years of age and to identify the important predictive features. Methods: Data was from 1,070 participants in the Irish population-based BASELINE cohort....

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Detalles Bibliográficos
Autores principales: Bowe, Andrea K., Lightbody, Gordon, Staines, Anthony, Kiely, Mairead E., McCarthy, Fergus P., Murray, Deirdre M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health Archive
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684182/
https://www.ncbi.nlm.nih.gov/pubmed/36439276
http://dx.doi.org/10.3389/ijph.2022.1605047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684182/
https://www.ncbi.nlm.nih.gov/pubmed/36439276
http://dx.doi.org/10.3389/ijph.2022.1605047

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