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WebYet, the causes and consequences of even the most common mental health conditions are not fully understood. In this project researchers will analyse ‘big data’ to draw meaningful insights out of vast quantities of information. In this way, they hope to shed new light on the mechanisms, diagnosis and treatment of common mental health conditions.

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Neurodevelopmental Disorders Mental Health Data …

Web3) Investigating mental/physical health and educational outcomes of children with neurodevelopmental disorders related to maternal factors. Using linkage of Scotland’s Pupil Census data to health, prescribing, education, social care, and maternity records, we will investigate the long-term mental and physical health and educational outcomes

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Evidence-based guidelines for mental health data science

WebThis method is an established technique for systematically converting collective, tacit knowledge into concrete guidelines. 4. Final version of guidelines. The final version of the guidelines will be published as a concise checklist for best practice in mental health data science. We will also disseminate our findings to the public via short

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Why Does Depression run in families

WebProfessor Andrew McIntosh, University of Edinburgh. Our work looks at where depression seems to run in some families. The commonest explanation for this is that people have genetic factors which run within families and explain why some people develop it more often than others. Now while that's clearly part of the explanation, we think that

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The genetics of depression and antidepressant response

WebThe question. By combining DNA and NHS health records, can we obtain data that is reliable enough for ‘big data’ research into depression? Principal Investigator: Professor Andrew McIntosh Background

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Schools Health Research Network in Scotland (SHINE)

WebIn 2014 a Schools Health Research Network (SHRN) was set up in Wales to enable effective collaboration between schools, policymakers, and academic researchers, focusing on school-based health improvement research. It began with a small number of secondary schools but by 2018 all Welsh secondary schools had joined the Network.

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Best Practice for Mental Health Data Science Mental …

Webthen finalise this checklist which aims to define best practice in mental health data science from a well-informed, lived experience perspective. The wording overleaf represents the distillation of their combined points of view. The best practice checklist comes in two versions. The first version describes what researchers can do today.

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What are 'Data' and 'Data linkage'

WebData linkage allows our researchers to bring together information from a wide variety of sources (see above), to create a new, richer dataset. [video contains no sound] Data linkage is done by assigning a number to each person and storing a set of links to all their records. Strict privacy rules ensure the security and confidentiality of the

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Why Are We Doing This Research

WebUsing the power of data science, our researchers hope to better understand the complex interactions that influence our risk and resilience to mental illness and affect our response to treatment. Our researchers are from a wide range of backgrounds including psychiatry, psychology, medical informatics, computing science, genomics and social

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University of Glasgow Mental Health Data Science Scotland

WebLed by Professor Daniel Smith, Professor of Psychiatry in the Institute of Health and Wellbeing, the project will investigate the overlap between mental and physical health problems and will develop a programme of schools-based mental health research in Scotland. “We are delighted with this MRC Data Pathfinder Award for Mental Health.

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Talking about risk and resilience Mental Health Data Science …

WebWe use this activity to initiate conversations about mental health and resilience. The stick represents a 'person'. Each roll of the dice adds a 'risk factor' (genetic, environmental or lifestyle). Sometimes you do not add a ring at all. If the top of the stack goes above the red line, the 'person' has become unwell.

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Who is at risk of mental ill-health

WebBut mental health depends on many hundreds of genes acting together. Even a gene that is strongly associated. health e.g. • Smoking. • Poor sleep quality. • Alcohol or drug misuse. • Poor diet / overweight. with mental ill-health, only increases a person’s risk by a very small amount. from hard times e.g.

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Resilient ageing, mental and physical health Mental Health Data

WebResilient ageing, mental and physical health. Using the Aberdeen Birth Cohorts and other collaborations, we study the life course factors which determine resilience, multimorbidity and mental health. We are led by an academic Consultant in Public Health Medicine, Professor Corri Black, and consist of a multidisciplinary group of researchers.

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Psychosis Cohort Mental Health Data Science Scotland

WebThe PsyCIS dataset includes data on the physical and mental health, medications and sociodemographic characteristics of over 10,000 patients, including many with schizophrenia and bipolar disorder. This dataset is a potentially important resource for research into the predictors of physical and mental health outcomes in patients with psychosis.

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Dr Carys Pugh Mental Health Data Science Scotland

WebFunding for this project has been received from MRC Mental Health Data Pathfinder award (MC_PC_17209) and The University of Edinburgh.

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Case Studies Mental Health Data Science Scotland

WebIts overall aim is to provide researchers with a guide to conducting mental health data science which is both high quality and inclusive of the views of those providing the mental health data. The case studies are provided in order to assist the wider research community in applying the recommendations from the checklist to the real world.

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University of Edinburgh Mental Health Data Science Scotland

WebProject title: This project will pool data from several sources including anonymised health records, genetics and psychological studies to build a picture of the development of mental health conditions like depression. It will also create secure facilities for health data research, forming a vital resource for Scottish researchers.

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News and Events Mental Health Data Science Scotland

WebNews and Events. Mental Health Data Science Scotland Mini-Conference. This meeting took place online on the 18th Feb 2021. [Read more] A loneliness Epidemic in a COVID-19 Pandemic. What factors are related to loneliness in middle and older aged people?

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Who is at risk of mental ill-health

WebAuthor: BEANGE Iona Created Date: 03/19/2019 05:32:53 Title: Who is at risk of mental ill-health? Everyone! Last modified by: BEANGE Iona Company

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