Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic

Nadia Penrod, Selah Lynch, Jason Moore

Abstract

Behavior-based interventions can prevent and/or treat many common chronic diseases, but few clinical research studies incorporate behavioral data. Collecting behavioral data on a large-scale is time-consuming and expensive. Fortunately, electronic health records (EHRs) are an incidental source of population-level behavioral data captured in clinical narratives as unstructured, free text. Here, we developed and evaluated three supervised text classification models for stratifying clinical chart notes based on use of yoga, a behavioral determinant of health that is linked to stress-management and the prevention and treatment of chronic disease. We demonstrate that yoga can be extracted from the EHR and classified into meaningful use cases for inclusion in clinical research.

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Paper Citation


in Harvard Style

Penrod N., Lynch S. and Moore J. (2020). Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 77-82. DOI: 10.5220/0008936300770082


in Bibtex Style

@conference{healthinf20,
author={Nadia Penrod and Selah Lynch and Jason Moore},
title={Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2020},
pages={77-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008936300770082},
isbn={978-989-758-398-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic
SN - 978-989-758-398-8
AU - Penrod N.
AU - Lynch S.
AU - Moore J.
PY - 2020
SP - 77
EP - 82
DO - 10.5220/0008936300770082