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Development of a decision support tool to predict outcome of coronary CT calcium score and angiography: Study Design and Data Preparation

5 October 2019 (14:48 - 14:56)
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Congress Presentation Part of: Artificial Intelligence 1 m-Health & Mobile Apps ESC Premium Access Digital Health 2019

About the speaker

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Miss Klaske Rynke Siegersma

Amsterdam University Medical Centre (AUMC), Amsterdam (Netherlands (The))

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Unsupervised classification and anomaly detection of stress echocardiograms with deep spatio-temporal autoencoders.
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Novel machine learning approaches to categorize and predict heart failure after acute myocardial infarction.
Doctor M. Heisler (Essen, DE)
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Using GSP and Activity monitors to explore the activity levels and utilization of healthcare services of patients in the first 30-days after discharge from hospital for patients with ACS.
Professor R. Clark (Adelaide, AU)
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Artificial Intelligence 1

The Event

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Digital Health 2019

5 October 2019 14:48 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources