Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data

OBJECTIVES: Attention deficit hyperactivity disorder (ADHD) is a prevalent childhood disorder, but often goes unrecognised and untreated. To improve access to services, accurate predictions of populations at high risk of ADHD are needed for effective resource allocation. Using a unique linked health...

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Detalles Bibliográficos
Autores principales: Ter-Minassian, Lucile, Viani, Natalia, Wickersham, Alice, Cross, Lauren, Stewart, Robert, Velupillai, Sumithra, Downs, Johnny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Mental Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723859/
https://www.ncbi.nlm.nih.gov/pubmed/36576182
http://dx.doi.org/10.1136/bmjopen-2021-058058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723859/
https://www.ncbi.nlm.nih.gov/pubmed/36576182
http://dx.doi.org/10.1136/bmjopen-2021-058058

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