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Accuracy of a machine learning program to correctly triage incoming SMS text replies from a successful cardiovascular SMS-based secondary prevention program

31 August 2019 (00:00 - 00:00)
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Congress Presentation Part of: Poster Session 1 - Digital health Remote Patient Monitoring and Telehealth, Other ESC Premium Access ESC Congress 2019

About the speaker

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Doctor Nicole Lowres

Heart Research Institute and University of Sydney, Camperdown (Australia)

13 More presentations in this session

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Accuracy of a smartwatch based single-lead electrocardiogram device in screening for atrial fibrillation
Doctor J. Sajeev (Melbourne, AU)
Abstract
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Effects of mobile text messaging on glycemic control in patients with coronary heart disease and diabetes mellitus: a randomized controlled trial
Doctor X. Huo (Beijing, CN)
Abstract Slides
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Accuracy of wrist-worn heart rate monitors for chronotropic assessment in atrial fibrillation
Doctor A. Al-kaisey (Melbourne, AU)
Abstract
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Merging technologies to provide Mexico an innovative nationwide ami management network.
Doctor A. Frauenfelder (Miami, US)
Abstract Slides
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The first handheld device for autonomic self-detection of symptomatic acute coronary artery occlusion: feasibility, performance and implications for time-efficient self-triage of outpatients with CAD
Doctor F. Van Heuverswyn (Gent, BE)
Abstract Slides

Access the full session

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Poster Session 1 - Digital health

The Event

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ESC Congress 2019

31 August - 4 September 2019

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources