Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Nonuse in Patients with Atherosclerotic Cardiovascular Disease
Abstract/Contents
- Abstract
- Statins conclusively decrease mortality in atherosclerotic cardiovascular disease (ASCVD), the leading cause of death worldwide, and are strongly recommended by guidelines. However, real world statin use and persistence remain low, resulting in excess mortality. Identifying reasons for statin nonuse at scale across health systems is crucial to develop targeted interventions to improve statin use. We developed and validated a deep learning-based natural language processing (NLP) approach (Clinical Bidirectional Encoder Representations from Transformers [BERT]) to classify statin nonuse and reasons for statin nonuse using unstructured EHR data from a diverse healthcare system.
Description
| Type of resource | software, multimedia, text |
|---|---|
| Date created | October 28, 2021 |
| Date modified | November 1, 2021; November 1, 2021; December 16, 2021; December 5, 2022 |
| Publication date | October 28, 2021 |
Creators/Contributors
| Author | Sarraju, Ashish |
https://orcid.org/0000-0003-1649-2110
(unverified)
|
|---|---|---|
| Author | Coquet, Jean |
https://orcid.org/0000-0002-7008-6925
(unverified)
|
| Author | Chan, Antonia |
https://orcid.org/0000-0002-7496-9581
(unverified)
|
| Author | Ngo, Summer |
https://orcid.org/0000-0002-7434-4143
(unverified)
|
| Author | Hernandez-Boussard, Tina |
https://orcid.org/0000-0001-6553-3455
(unverified)
|
| Author | Rodriguez, Fatima |
https://orcid.org/0000-0002-5226-0723
(unverified)
|
Subjects
| Subject | Natural language processing (Computer science) |
|---|---|
| Subject | Medicine > Research |
| Subject | Medical records |
| Subject | Machine learning |
| Subject | Statins (Cardiovascular agents) |
| Genre | Software/code |
| Genre | Code |
| Genre | Computer program |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 4.0 International license (CC BY-NC-ND).
Preferred citation
- Preferred citation
- Sarraju, A. and Coquet, J. (2021). Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Nonuse in Patients with Atherosclerotic Cardiovascular Disease. Stanford Digital Repository. Available at https://purl.stanford.edu/gn923yy3398
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