ESC Premium Access

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

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

Congress Presentation

About the speaker

Miss Klaske Rynke Siegersma

Amsterdam University Medical Centre, Amsterdam (Netherlands (The))
2 presentations
0 follower

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)


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

Speaker: Doctor M. Heisler (Essen, DE)


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)


Access the full session

Artificial Intelligence 1

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

About the event


Digital Health 2019

5 October - 6 October 2019

Sessions Presentations

ESC 365 is supported by