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

MLA

Ter-Minassian, Lucile, et al. “Assessing Machine Learning for Fair Prediction of ADHD in School Pupils Using a Retrospective Cohort Study of Linked Education and Healthcare Data.” BMJ Open, vol. 12, no. 12, Dec. 2022, p. e058058. EBSCOhost, https://doi.org/10.1136/bmjopen-2021-058058.

APA

Ter-Minassian, L., Viani, N., Wickersham, A., Cross, L., Stewart, R., Velupillai, S., & Downs, J. (2022). Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data. BMJ Open, 12(12), e058058. https://doi.org/10.1136/bmjopen-2021-058058

Chicago

Ter-Minassian, Lucile, Natalia Viani, Alice Wickersham, Lauren Cross, Robert Stewart, Sumithra Velupillai, and Johnny Downs. 2022. “Assessing Machine Learning for Fair Prediction of ADHD in School Pupils Using a Retrospective Cohort Study of Linked Education and Healthcare Data.” BMJ Open 12 (12): e058058. doi:10.1136/bmjopen-2021-058058.