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Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension...

Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4696a6a4c8e41b290eaed7c1be6e7f0

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

About this item

Full title

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

Publisher

Toronto: Gunther Eysenbach MD MPH, Associate Professor

Journal title

Journal of medical Internet research, 2022-06, Vol.24 (6), p.e36151-e36151

Language

English

Formats

Publication information

Publisher

Toronto: Gunther Eysenbach MD MPH, Associate Professor

More information

Scope and Contents

Contents

Background: Free-text communication between patients and providers plays an increasing role in chronic disease management, through platforms varying from traditional health care portals to novel mobile messaging apps. These text data are rich resources for clinical purposes, but their sheer volume render them difficult to manage. Even automated app...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e4696a6a4c8e41b290eaed7c1be6e7f0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4696a6a4c8e41b290eaed7c1be6e7f0

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/36151

How to access this item