Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study
BackgroundSMS text messaging programs are increasingly being used for secondary prevention, and have been shown to be effective in a number of health conditions including cardiovascular disease. SMS text messaging programs have the potential to increase the reach of an interv...
Main Authors: | Lowres, Nicole, Duckworth, Andrew, Redfern, Julie, Thiagalingam, Aravinda, Chow, Clara K |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-06-01
|
Series: | JMIR mHealth and uHealth |
Online Access: | http://mhealth.jmir.org/2020/6/e19200/ |
Similar Items
-
Factors Influencing Engagement, Perceived Usefulness and Behavioral Mechanisms Associated with a Text Message Support Program.
by: Julie Redfern, et al.
Published: (2016-01-01) -
The effects of a lifestyle-focused text-messaging intervention on adherence to dietary guideline recommendations in patients with coronary heart disease: an analysis of the TEXT ME study
by: Karla Santo, et al.
Published: (2018-05-01) -
Design Considerations in Development of a Mobile Health Intervention Program: The TEXT ME and TEXTMEDS Experience
by: Thakkar, Jay, et al.
Published: (2016-11-01) -
Text-messaging program improves outcomes in outpatient cardiovascular rehabilitation
by: Patricia Lounsbury, et al.
Published: (2015-06-01) -
Feasibility of a text-messaging smoking cessation program for soldiers in Israel
by: Dov Bary-Weisberg, et al.
Published: (2019-06-01)