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Psychiatric diagnostics involve collecting information about a patient's symptoms, age of onset, development over time, relation to external stress, and ability to function and experience suffering. This information is classified using ICD (World Health Organisation) and DSM (American diagnosis system). Currently, there is a lack of a scientifically evaluated system to support these diagnostics. This project seeks to develop and evaluate a set of self-assessment scales which collect and classify relevant data and serve as support for clinicians. These scales are made up of questions about typical psychiatric symptoms, which are assessed and evaluated using a statistical method (Item Response Theory). After testing and evaluation, a scale could consist of approximately 10 items or less. The scales are then tested together to see if the number of items and scales can be reduced further.
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