All Outputs (2)

How data science can advance mental health research (2018)
Journal Article
Russ, T. C., Woelbert, E., Davis, K. A. S., Hafferty, J. D., Ibrahim, Z., Inkster, B., John, A., Lee, W., Maxwell, M., McIntosh, A. M., Stewart, R., & MQ Data Science Group. (2018). How data science can advance mental health research. Nature Human Behaviour, https://doi.org/10.1038/s41562-018-0470-9

Accessibility of powerful computers and availability of so-called big data from a variety of sources means that data science approaches are becoming pervasive. However, their application in mental health research is often considered to be at an earli... Read More about How data science can advance mental health research.

Childhood adversity, mental health and suicide (CHASE): a longitudinal case-control linked data study of lifetime inpatient records associated with suicide
Presentation / Conference Contribution
Savinc, J. (2022, March). Childhood adversity, mental health and suicide (CHASE): a longitudinal case-control linked data study of lifetime inpatient records associated with suicide. Paper presented at 2022 Mental Health Data Science meeting, Online

Background
Childhood adversity (CA) carries an increased risk of developing later mental health (MH) problems and suicidal behaviour. This study aimed to summarise hospital attendances for CA and MH in young people who later died by suicide.
Method... Read More about Childhood adversity, mental health and suicide (CHASE): a longitudinal case-control linked data study of lifetime inpatient records associated with suicide.