Predicting Treatment Outcome from Patient Texts:The Case of Internet-Based Cognitive Behavioural Therapy
2021-04-01EACL 2021Unverified0· sign in to hype
Evangelia Gogoulou, Magnus Boman, Fehmi ben Abdesslem, Nils Hentati Isacsson, Viktor Kaldo, Magnus Sahlgren
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
We investigate the feasibility of applying standard text categorisation methods to patient text in order to predict treatment outcome in Internet-based cognitive behavioural therapy. The data set is unique in its detail and size for regular care for depression, social anxiety, and panic disorder. Our results indicate that there is a signal in the depression data, albeit a weak one. We also perform terminological and sentiment analysis, which confirm those results.