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CRIS Projects
Search the CRIS Projects
Welcome to the CRIS project search area. As you will see below, there are a number of ways to find information about our CRIS projects. Simply add the criteria you are looking for into the relevant search field to see the relevant projects.
Please contact the CRIS Administrator for further details on existing projects or to apply to use CRIS for your own study. Email: cris.administrator@slam.nhs.uk
Dissociation is a symptom occurring in several neuropsychiatric disorders such as functional neurological disorders, and an ability to detect it from clinical notes text would allow to study its prevalence and
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It is important to understand more about experiences of pregnancy in people with mental health disorders. This study will investigate predictors of mental health deterioration before and after childbirth, as well
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Following on from previous research modelling the characteristics of children who were identified as having special educational needs and disabilities (SEND) during primary school, this project will extend the analysis to
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The IMPaCT clinical trial comparing the IMPACT intervention (training and supervising care co-ordinators in community mental health teams in a health promotion intervention to help them support their patients with psychosis
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We have recently developed natural language processing algorithms to detect 21 different physical health conditions when these are mentioned in our mental health notes. This study will use this capability to
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In recent years a “clinical staging model” has been adopted in psychosis services, recognising that during the “at risk mental state” and the very first episode of psychosis, the exact nature
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This project will use Artificial Intelligence techniques to help clinicians better understand and treat mental health issues by looking at a variety of information about patients. The project will use information
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Several ways of classifying children's mental health disorders are popular amongst clinicians working with children and young people who are adopted or fostered, or who have experienced maltreatment and neglect, but
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At present, it is difficult to accurately identify diagnoses from Child and Adolescent Mental Health Services (CAMHS) records for research; this project will overcome this challenge using Natural Language Processing and
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Rates of child sexual abuse (CSA) among people using mental health services are high, but there are a range of barriers to disclosing CSA in meetings with mental health professionals which
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