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Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study

Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study

Given user i’s tth message, the risk score is defined as the average cosine similarity between the word in the message, , and the risky word w from each risk topic d set of risky words. The distance between the words found in messages and those from the risk behavior dictionary was used to decide when a user was displaying a risky textual correspondence.

Anaelia Ovalle, Orpaz Goldstein, Mohammad Kachuee, Elizabeth S C Wu, Chenglin Hong, Ian W Holloway, Majid Sarrafzadeh

J Med Internet Res 2021;23(4):e22042

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