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

Rachel KornfieldPrathusha K SarmaDhavan V ShahFiona McTavishGina LanducciKlaren Pe-RomashkoDavid H Gustafson
Published in: Journal of medical Internet research (2018)
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.
Keyphrases
  • machine learning
  • mental health
  • artificial intelligence
  • autism spectrum disorder
  • big data
  • deep learning
  • working memory
  • resistance training
  • high intensity