Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study
- DOI
- 10.2196/36151
- Published
- 2022-06-29
- Container
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/36151,
title = {Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study},
author = {Anahita Davoudi and Natalie S Lee and ThaiBinh Luong and Timothy Delaney and Elizabeth Asch and Krisda Chaiyachati and Danielle Mowery},
year = {2022},
journal = {Journal of Medical Internet Research},
doi = {10.2196/36151},
url = {https://doi.org/10.2196/36151}
}RIS
TY - JOUR TI - Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study AU - Anahita Davoudi AU - Natalie S Lee AU - ThaiBinh Luong AU - Timothy Delaney AU - Elizabeth Asch AU - Krisda Chaiyachati AU - Danielle Mowery PY - 2022 JO - Journal of Medical Internet Research DO - 10.2196/36151 UR - https://doi.org/10.2196/36151 ER -
APA
Davoudi, A., Lee, N. S., Luong, T., Delaney, T., Asch, E., Chaiyachati, K., & Mowery, D. (2022). Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study. Journal of Medical Internet Research. https://doi.org/10.2196/36151
Source records
- crossref · retrieved 2026-09-26T16:40:16.362Z