ESC 365 - 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.

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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.

Session: Artificial Intelligence 1

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

Speaker: Professor R. Clark (Adelaide, AU)

Event: Digital Health 2019

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About the speaker

Professor Robyn Anne Clark

Flinders University, Adelaide (Australia)

7 presentations

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3 more presentations in this session

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

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

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)

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

Speaker: Doctor M. Heisler (Essen, DE)

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Artificial Intelligence 1

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

About the event

Digital Health 2019

5 October - 6 October 2019

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