Improved assessment of depression and anxiety in children and young people using natural language

How a person expresses their state of mind with language represents rich information. This project develops and adapts a method to improve the accuracy of diagnosis of Major Depression and Generalized Anxiety Disorder in children and young people. The method uses artificial intelligence (AI) based on natural language processing and machine learning to analyze open responses. The open response method is called language-based assessments, where respondents answer questions with free text that are analyzed with AI. This project aims to further develop and adapt these language-based assessments for children and young people to improve the measurement of mental illness.