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

Text-messaging (SMS, WeChat etc)-Based Interventions (622) New Methods (909) Machine Learning (1385) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) Cardiovascular Disease Prevention (114)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19200, first published .
Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study

Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study

Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study

Authors of this article:

Nicole Lowres1, 2 Author Orcid Image ;   Andrew Duckworth3 Author Orcid Image ;   Julie Redfern2, 4 Author Orcid Image ;   Aravinda Thiagalingam2, 4, 5 Author Orcid Image ;   Clara K Chow2, 4, 5 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually