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

Racial Disparities in Diagnosis of Attention-Deficit/Hyperactivity Disorder in a US National Birth Cohort

(2021) Yu Shi et al.   JAMA Network Open

An approach to linking education, social care and electronic health records for children and young people in South London: a linkage study of child and adolescent mental health service data

(2019) Johnny M Downs et al.   BMJ Open

Predicting childhood obesity using electronic health records and publicly available data

(2019) Robert Hammond et al.   PLoS One

A Prediction Model for Uncontrolled Type 2 Diabetes Mellitus Incorporating Area-level Social Determinants of Health

(2019) Sanjay Basu et al.   MEDICAL CARE

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

(2018) Cao Xiao et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A general prediction model for the detection of ADHD and Autism using structural and functional MRI

(2018) Bhaskar Sen et al.   PLoS One

Psychoradiologic Utility of MR Imaging for Diagnosis of Attention Deficit Hyperactivity Disorder: A Radiomics Analysis

(2018) Huaiqiang Sun et al.   RADIOLOGY

Ensuring Fairness in Machine Learning to Advance Health Equity

(2018) Alvin Rajkomar et al.   ANNALS OF INTERNAL MEDICINE

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project

(2017) Richard G Jackson et al.   BMJ Open

Educational and Health Outcomes of Children Treated for Attention-Deficit/Hyperactivity Disorder

(2017) Michael Fleming et al.   JAMA Pediatrics

Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification

(2017) Brian d'Alessandro et al.   Big Data

Diagnostic efficiency of the SDQ for parents to identify ADHD in the UK: a ROC analysis

(2016) Guillermo Perez Algorta et al.   EUROPEAN CHILD & ADOLESCENT PSYCHIATRY

Validation of the Use of Electronic Health Records for Classification of ADHD Status

(2016) Siobhan M. Gruschow et al.   Journal of Attention Disorders

Racial and Ethnic Disparities in ADHD Diagnosis and Treatment

(2016) T. R. Coker et al.   PEDIATRICS

Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource

(2016) Gayan Perera et al.   BMJ Open

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

(2016) Richard D Riley et al.   BMJ-British Medical Journal

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

(2016) Richard D Riley et al.   BMJ-British Medical Journal

Clinical predictors of antipsychotic use in children and adolescents with autism spectrum disorders: a historical open cohort study using electronic health records

(2015) Johnny Downs et al.   EUROPEAN CHILD & ADOLESCENT PSYCHIATRY

Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

(2015) Tjeerd van der Ploeg et al.   BMC Medical Research Methodology

Accuracy of Electronic Health Record–Derived Data for the Identification of Incident ADHD

(2014) Matthew F. Daley et al.   Journal of Attention Disorders

Machine learning approach for classification of ADHD adults

(2013) Aleksandar Tenev et al.   INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY

Social and Emotional Impairment in Children and Adolescents with ADHD and the Impact on Quality of Life

(2010) Peter M. Wehmeier et al.   JOURNAL OF ADOLESCENT HEALTH

Predictors of Service Use for Mental Health Problems Among British Schoolchildren

(2007) Tamsin Ford et al.   Child and Adolescent Mental Health