Factors Influencing Engagement in a Digital Substance Use Prevention Program: Qualitative Study Using the Capability, Opportunity, Motivation Model and Theoretical Domains Framework

Factors Influencing Engagement in a Digital Substance Use Prevention Program: Qualitative Study Using the Capability, Opportunity, Motivation Model and Theoretical Domains Framework

Background: Digital interventions are promising for the prevention of substance use in young people. However, engagement with these interventions is often insufficient and their full potential cannot be realized. Given the established link between…

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Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records

Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records

Secondary use of electronic health record notes enhances clinical outcomes and personalized medicine, but risks sensitive health information (SHI) exposure. Inconsistent time formats hinder interpretation, necessitating deidentification and temporal normalization. The SREDH/AI CUP 2023…

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