Research groups
Aida Seyedsalehi
BSc (Hons) MPhil
DPhil Student
I am a DPhil student working under the supervision of Professor Seena Fazel and Professor Graham Murray (University of Cambridge). My research is broadly focused on prognostic modelling for adverse outcomes in mental illness (including model development, validation, and systematic reviews of prognostic models). I am particularly interested in predicting the risk of suicide, self-harm, and psychotic relapse.
Prior to starting my DPhil at Oxford, I completed a BSc in Psychology at King’s College London and an MPhil in Epidemiology at the University of Cambridge. My DPhil research is supported by the Clarendon Fund, the Robert Oxlade Scholarship (St John’s College), a Department of Psychiatry Studentship, and the NIHR Oxford Health BRC.
Colleges
Key publications
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Suicide risk assessment tools and prediction models: new evidence, methodological innovations, outdated criticisms
Journal article
Seyedsalehi A. and Fazel S., (2024), BMJ Mental Health, 27, e300990 - e300990
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Predictive tools in psychosis: what is ‘good enough’?
Journal article
Seyedsalehi A. and Lennox B., (2023), Nature Reviews Neurology
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Educational attainment, structural brain reserve and Alzheimer’s disease: a Mendelian randomization analysis
Journal article
Seyedsalehi A. et al, (2022), Brain
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Violence risk assessment instruments in forensic psychiatric populations: a systematic review and meta-analysis.
Journal article
Ogonah MGT. et al, (2023), Lancet Psychiatry, 10, 780 - 789
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Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia.
Journal article
Rollins CPE. et al, (2020), Transl Psychiatry, 10
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Investigation of risk of dementia diagnosis and death in patients in older people's secondary care mental health services
Journal article
Kershenbaum A. et al, (2021), Int J Geriatr Psychiatry, 36, 573 - 582
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The relationship between heartbeat counting and heartbeat discrimination: A meta-analysis.
Journal article
Hickman L. et al, (2020), Biol Psychol, 156
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Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study
Journal article
Cliffe C. et al, (2021), BMJ Open, 11
