@inproceedings{gogoulou-etal-2021-predicting,
title = "Predicting Treatment Outcome from Patient Texts:The Case of {I}nternet-Based Cognitive Behavioural Therapy",
author = "Gogoulou, Evangelia and
Boman, Magnus and
Ben Abdesslem, Fehmi and
Hentati Isacsson, Nils and
Kaldo, Viktor and
Sahlgren, Magnus",
editor = "Merlo, Paola and
Tiedemann, Jorg and
Tsarfaty, Reut",
booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.eacl-main.46",
doi = "10.18653/v1/2021.eacl-main.46",
pages = "575--580",
abstract = "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.",
}
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%0 Conference Proceedings
%T Predicting Treatment Outcome from Patient Texts:The Case of Internet-Based Cognitive Behavioural Therapy
%A Gogoulou, Evangelia
%A Boman, Magnus
%A Ben Abdesslem, Fehmi
%A Hentati Isacsson, Nils
%A Kaldo, Viktor
%A Sahlgren, Magnus
%Y Merlo, Paola
%Y Tiedemann, Jorg
%Y Tsarfaty, Reut
%S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F gogoulou-etal-2021-predicting
%X 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.
%R 10.18653/v1/2021.eacl-main.46
%U https://aclanthology.org/2021.eacl-main.46
%U https://doi.org/10.18653/v1/2021.eacl-main.46
%P 575-580
Markdown (Informal)
[Predicting Treatment Outcome from Patient Texts:The Case of Internet-Based Cognitive Behavioural Therapy](https://aclanthology.org/2021.eacl-main.46) (Gogoulou et al., EACL 2021)
ACL