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

Nadia M. Penrod; Selah Lynch; Jason H. Moore

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Paper

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

Topics: Data Mining and Data Analysis; Electronic Health Records and Standards; Medical Informatics; Pattern Recognition and Machine Learning; Wellbeing Informatics

In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: BIOSTEC, 77-82, 2020 , Valletta, Malta

Authors: Nadia M. Penrod ; Selah Lynch and Jason H. Moore

Affiliation: Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, PA, U.S.A.

Keyword(s): Electronic Health Records, Natural Language Processing, Machine Learning, Behavioral Determinants of Health, Yoga.

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 several formats:

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 (BIOSTEC 2020) - HEALTHINF; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 77-82. DOI: 10.5220/0008936300770082

@conference{healthinf20,
author={Nadia M. Penrod. and Selah Lynch. and Jason H. 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 (BIOSTEC 2020) - HEALTHINF},
year={2020},
pages={77-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008936300770082},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF
TI - Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic
SN - 978-989-758-398-8
IS - 2184-4305
AU - Penrod, N.
AU - Lynch, S.
AU - Moore, J.
PY - 2020
SP - 77
EP - 82
DO - 10.5220/0008936300770082
PB - SciTePress