Delahunty, Fionn; Johansson, Robert; Arcan, Mihael Passive diagnosis incorporating the PHQ-4 for depression and anxiety Inproceedings In Proceedings of the 4th Social Media Mining for Health Research and Applications Workshop (SMM4H), Association for Computational Linguistics, Florence, Italy, 2019. Abstract | Links | BibTeX @inproceedings{delahunty19_smm4h,
title = {Passive diagnosis incorporating the PHQ-4 for depression and anxiety},
author = {Fionn Delahunty and Robert Johansson and Mihael Arcan},
url = {https://www.aclweb.org/anthology/W19-3205},
doi = {10.18653/v1/W19-3205},
year = {2019},
date = {2019-01-01},
booktitle = {In Proceedings of the 4th Social Media Mining for Health Research and Applications Workshop (SMM4H)},
publisher = {Association for Computational Linguistics},
address = {Florence, Italy},
abstract = {Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. In this work, we develop and evaluate a multilabel, multidimensional deep neural network designed to predict PHQ-4 scores based on individuals written text. Our system outperforms random baseline metrics and provides a novel approach to how we can predict psychometric scores from written text. Additionally, we explore how this architecture can be applied to analyse social media data.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. In this work, we develop and evaluate a multilabel, multidimensional deep neural network designed to predict PHQ-4 scores based on individuals written text. Our system outperforms random baseline metrics and provides a novel approach to how we can predict psychometric scores from written text. Additionally, we explore how this architecture can be applied to analyse social media data. |
Delahunty, Fionn; Wood, Ian D; Arcan, Mihael First Insights on a Passive Major Depressive Disorder Prediction System
with Incorporated Conversational Chatbot Inproceedings Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence
and Cognitive Science Trinity College Dublin, Dublin, Ireland, December
6-7th, 2018., pp. 327–338, 2018. Links | BibTeX @inproceedings{DBLP:conf/aics/DelahuntyWA18,
title = {First Insights on a Passive Major Depressive Disorder Prediction System
with Incorporated Conversational Chatbot},
author = {Fionn Delahunty and Ian D Wood and Mihael Arcan},
url = {http://ceur-ws.org/Vol-2259/aics_30.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence
and Cognitive Science Trinity College Dublin, Dublin, Ireland, December
6-7th, 2018.},
pages = {327--338},
crossref = {DBLP:conf/aics/2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
