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May 23, 2024

The Development of Adult SWAN-OM using novel data-science approaches

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Developing a single-session outcome measure using natural language processing on digital mental health transcripts

Gregor Milligan, Aynsley Bernard, Liz Dowthwaite, Elvira Perez Vallejos, Jamie Davis, Louisa Salhi, James Goulding

This study outlines the development of a measure for single session wants and needs in adults using contemporary machine learning methods and textual data analysis of transcript data from Qwell's counselling sessions. The study solicited feedback from clinical experts and Qwell service users to refine the measure.

The aim of the study is to provide insights into the wants and needs of users and improve mental health support. The study focuses on developing outcome measures in the context of 'single sessions' and refining automated methods through collaboration with clinicians and individuals with lived experience.

The aim of the study is to provide insights into the wants and needs of users and improve mental health support. The study focuses on developing outcome measures in the context of 'single sessions' and refining automated methods through collaboration with clinicians and individuals with lived experience.

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