Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum

Conclusions: Differences in language use can distinguish messages disclosing recovery problems from other message types. Incorporating machine learning models based on language use allows real-time flagging of concerning content such that trained staff may engage more efficiently and focus their attention on time-sensitive issues.

Source: Journal of Medical Internet Research - June 12, 2018 Category: General Medicine Authors: Rachel Kornfield Prathusha K Sarma Dhavan V Shah Fiona McTavish Gina Landucci Klaren Pe-Romashko David H Gustafson Source Type: research