Professor Rina Dutta Supervisors Academics Clinical Professor in Psychiatry and Academic Capacity Development Consultant Psychiatrist in National Affective Disorders, The Maudsley Hospital. Research subject areas Psychiatry Mental Health Contact details Rina.dutta@kcl.ac.uk 02078481175
Factors that affect clinical youth engagement in digital mental health research: A qualitative sub-study nested within a prospective cohort study Reciprocal longitudinal associations between symptoms of body dissatisfaction and disordered eating, self-harm and suicidal ideation ‘It’s the perfect storm’: why are people with eating disorders at risk of suicide? A qualitative study Bullying Victimization and Self-Harm Among Adolescents from Diverse Inner-City Schools: Variation by Bullying Sub-Types and the Role of Sex Cohort profile: The Social media, smartphone use and Self-harm in Young People (3S-YP) study-A prospective, observational cohort study of young people in contact with mental health services Maximizing the positive and minimizing the negative: Social media data to study youth mental health with informed consent Observational prospective study of social media, smartphone use and self-harm in a clinical sample of young people: Study protocol Autism spectrum disorders as a risk factor for adolescent self-harm: a retrospective cohort study of 113,286 young people in the UK Maximising the positive and minimising the negative: Social media data to study youth mental health with informed consent Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records Self-harm in pregnancy and the postnatal year: Prevalence and risk factors Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records Harm minimisation for the management of self-harm: a mixed-methods analysis of electronic health records in secondary mental healthcare Improving suicide surveillance systems through the use of the Patient Health Questionnaire-9 Incidence of suicidality in people with depression over a 10-year period treated by a large UK mental health service provider Temporal and diurnal variation in social media posts to a suicide support forum The challenges and opportunities of mental health data sharing in the UK Understanding the influence of personality traits on risk of suicidal behaviour in schizophrenia spectrum disorders: A systematic review Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: A retrospective cohort study Analysing Meso and Macro conversation structures in an online suicide support forum Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories Clinician-recalled quoted speech in electronic health records and risk of suicide attempt: a case-crossover study Mining Social Media Data to Study the Consequences of Dementia Diagnosis on Caregivers and Relatives Reviewing a decade of research into suicide and related behaviour using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) system Suicide attempts requiring hospitalization in patients with eating disorders: A retrospective cohort study Temporal Information Extraction from Mental Health Records to Identify Duration of Untreated Psychosis Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour Identifying Suicidal Adolescents from Mental Health Records using Natural Language Processing Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing INTERNET, SOCIAL MEDIA, AND ONLINE GAMING IN ADOLESCENT MENTAL HEALTH PATIENTS: TOWARDS A NATURAL LANGUAGE PROCESSING (NLP) APPROACH Perinatal self-harm: an overlooked public health issue Poor school attendance and exclusion: a systematic review protocol on educational risk factors for self-harm and suicidal behaviours Risk Assessment Tools and Data-driven Approaches for Predicting and Preventing Suicidal Behaviour School absenteeism as a risk factor for self-harm and suicidal ideation in children and adolescents: A systematic review and meta-analysis School achievement and adolescent self-harm: methodological issues may have led to misleading conclusions in a highly powered national study Social media, internet use and suicide attempts in adolescents Text Classification to Inform Suicide Risk Assessment in Electronic Health Records The Prevalence and Correlates of Self-Harm in the Perinatal Period: A Systematic Review Can risk assessment predict suicide in secondary mental healthcare? Findings from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register Demographic and clinical factors associated with different antidepressant treatments: a retrospective cohort study design in a UK psychiatric healthcare setting Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing Insight and risk of suicidal behaviour in two first-episode psychosis cohorts: Effects of previous suicide attempts and depression Time Expressions in Mental Health Records for Symptom Onset Extraction Using Clinical Natural Language Processing for Health Outcomes Research: Overview and Actionable Suggestions for Future Advances Characterisation of mental health conditions in social media using Informed Deep Learning Contributions of specific causes of death to lost life expectancy in severe mental illness Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning View all publications
19 September 2025 Experts come together to discuss social media use in children and young people Leading experts discussed the science, policy and practical approaches to supporting children’s…