@inproceedings{rosenthal-faulkner-2018-toward,
title = "Toward Cross-Domain Engagement Analysis in Medical Notes",
author = "Rosenthal, Sara and
Faulkner, Adam",
editor = "Demner-Fushman, Dina and
Cohen, Kevin Bretonnel and
Ananiadou, Sophia and
Tsujii, Junichi",
booktitle = "Proceedings of the {B}io{NLP} 2018 workshop",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-2325",
doi = "10.18653/v1/W18-2325",
pages = "189--193",
abstract = "We present a novel annotation task evaluating a patient{'}s engagement with their health care regimen. The concept of engagement supplements the traditional concept of adherence with a focus on the patient{'}s affect, lifestyle choices, and health goal status. We describe an engagement annotation task across two patient note domains: traditional clinical notes and a novel domain, care manager notes, where we find engagement to be more common. The annotation task resulted in a kappa of .53, suggesting strong annotator intuitions regarding engagement-bearing language. In addition, we report the results of a series of preliminary engagement classification experiments using domain adaptation.",
}
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%0 Conference Proceedings
%T Toward Cross-Domain Engagement Analysis in Medical Notes
%A Rosenthal, Sara
%A Faulkner, Adam
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the BioNLP 2018 workshop
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F rosenthal-faulkner-2018-toward
%X We present a novel annotation task evaluating a patient’s engagement with their health care regimen. The concept of engagement supplements the traditional concept of adherence with a focus on the patient’s affect, lifestyle choices, and health goal status. We describe an engagement annotation task across two patient note domains: traditional clinical notes and a novel domain, care manager notes, where we find engagement to be more common. The annotation task resulted in a kappa of .53, suggesting strong annotator intuitions regarding engagement-bearing language. In addition, we report the results of a series of preliminary engagement classification experiments using domain adaptation.
%R 10.18653/v1/W18-2325
%U https://aclanthology.org/W18-2325
%U https://doi.org/10.18653/v1/W18-2325
%P 189-193
Markdown (Informal)
[Toward Cross-Domain Engagement Analysis in Medical Notes](https://aclanthology.org/W18-2325) (Rosenthal & Faulkner, BioNLP 2018)
ACL