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

Text-messaging (SMS, WeChat etc)-Based Interventions (650) New Methods (944) Machine Learning (1465) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Cardiovascular Disease Prevention (138)

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
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