[HTML][HTML] A scoping review of fair machine learning techniques when using real-world data

Y Huang, J Guo, WH Chen, HY Lin, H Tang… - Journal of Biomedical …, 2024 - Elsevier
Objective The integration of artificial intelligence (AI) and machine learning (ML) in health
care to aid clinical decisions is widespread. However, as AI and ML take important roles in …

Educational outcomes of children in contact with social care in England: a systematic review

MA Jay, M Grath-Lone - Systematic reviews, 2019 - Springer
Abstract Background In England, the state intervenes in the lives of children through
Children's Social Care (CSC) services with the aim of supporting and maintaining their …

Dual-factor mental health from childhood to early adolescence and associated factors: A latent transition analysis

KJ Petersen, N Humphrey, P Qualter - Journal of youth and adolescence, 2022 - Springer
The dual-factor model of mental health indicates the importance of simultaneously
assessing symptoms and subjective wellbeing, but there is limited understanding of how …

Educational attainment trajectories among children and adolescents with depression, and the role of sociodemographic characteristics: longitudinal data-linkage study

A Wickersham, H Dickson, R Jones… - The British Journal of …, 2021 - cambridge.org
BackgroundDepression is associated with lower educational attainment, but there has been
little investigation of long-term educational trajectories in large cohorts with diagnosed …

Latent class analysis of mental health in middle childhood: Evidence for the dual-factor model

KJ Petersen, N Humphrey, P Qualter - School Mental Health, 2020 - Springer
Mental health is complex, comprising both mental distress and well-being. This study used
latent class analysis to identify common combinations of mental distress and well-being …

Data resource profile: the education and child health insights from linked data (ECHILD) database

L Mc Grath-Lone, N Libuy, K Harron… - International Journal …, 2022 - academic.oup.com
Database is de-identified. It does not include any information that could be used to directly
identify a person, such as names, addresses, postcodes or dates of birth. Access and …

Evaluation of variation in special educational needs provision and its impact on health and education using administrative records for England: umbrella protocol for a …

A Zylbersztejn, K Lewis, V Nguyen, J Matthews… - BMJ open, 2023 - bmjopen.bmj.com
Introduction One-third of children in England have special educational needs (SEN)
provision recorded during their school career. The proportion of children with SEN provision …

[HTML][HTML] Linking education and hospital data in England: linkage process and quality

N Libuy, K Harron, R Gilbert, R Caulton… - … Journal of Population …, 2021 - ncbi.nlm.nih.gov
Objectives We aim to describe the linkage process and evaluate the quality of linkage of four
one-year birth cohorts within the National Pupil Database (NPD) and Hospital Episode …

Drivers of the socio‐economic disadvantage gap in England: Sequential pathways that include the home learning environment and self‐regulation as mediators

A Joseph, K Sylva, P Sammons… - British Journal of …, 2024 - Wiley Online Library
Background Socio‐economic status (SES) is a powerful predictor of attainment. Research
has identified multiple mechanisms that underpin the effect of SES on attainment. For …

[HTML][HTML] Maternal depressive symptoms and young people's higher education participation and choice of university: Evidence from a longitudinal cohort study

S Bowman, TT Morris, M Dickson, F Rice… - Journal of Affective …, 2024 - Elsevier
Background Participation in higher education has significant and long-lasting consequences
for people's socioeconomic trajectories. Maternal depression is linked to poorer educational …