This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (526) Text-messaging (SMS, WeChat etc)-Based Interventions (650) Artificial Intelligence (1351) Natural Language Processing (686) Mobile Health (mhealth) (2920)

Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36151, first published .
Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study

Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study

Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study

Authors of this article:

Anahita Davoudi1 Author Orcid Image ;   Natalie S Lee2 Author Orcid Image ;   ThaiBinh Luong3 Author Orcid Image ;   Timothy Delaney4 Author Orcid Image ;   Elizabeth Asch5 Author Orcid Image ;   Krisda Chaiyachati4, 5, 6 Author Orcid Image ;   Danielle Mowery1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Anahita Davoudi   1 * , MS, PhD ;   Natalie S Lee   2 * , MD, MPH, MSHP ;   ThaiBinh Luong   3 , PhD ;   Timothy Delaney   4 , BA ;   Elizabeth Asch   5 , BSc ;   Krisda Chaiyachati   4, 5, 6 * , MD, MPH, MSHP ;   Danielle Mowery   1 * , MS, PhD

1 Department of Biostatistics, Epidemiology, and Informatics, Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States

2 Division of General Internal Medicine, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States

3 Penn Medicine Predictive Healthcare, University of Pennsylvania Health System, Philadelphia, PA, United States

4 Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, United States

5 Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States

6 Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

*these authors contributed equally

Corresponding Author:

  • Danielle Mowery, MS, PhD
  • Department of Biostatistics, Epidemiology, and Informatics
  • Institute for Biomedical Informatics
  • University of Pennsylvania
  • 3700 Hamilton Walk
  • Philadelphia, PA, 19104-6021
  • United States
  • Phone: 1 2157466677
  • Email: dlmowery@pennmedicine.upenn.edu