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Novel machine learning approaches to categorize and predict heart failure after acute myocardial infarction.

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Congress Session

About the speaker

Doctor Martin Heisler

University Clinic Essen, Essen (Germany)
1 presentation
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3 more presentations in this session

Unsupervised classification and anomaly detection of stress echocardiograms with deep spatio-temporal autoencoders.

Speaker: Doctor B. Loh (Kuching, MY) Professor P. Then (Kuching, MY)

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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

Speaker: Miss K. Siegersma (Amsterdam, NL)

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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.

Speaker: Professor R. Clark (Adelaide, AU)

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Access the full session

Artificial Intelligence 1

Speakers: Doctor M. Heisler, Doctor B. Loh, Professor P. Then, Miss K. Siegersma, Professor R. Clark
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About the event

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Digital Health 2019

5 October - 6 October 2019

Sessions Presentations

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