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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.