ESC 365 - ARGUS Hackathon: Development of a machine learning algorithm to exclude coronary macro- and microvascular disease in a clinical care dataset.

ESC Premium Access

ARGUS Hackathon: Development of a machine learning algorithm to exclude coronary macro- and microvascular disease in a clinical care dataset.

Session: Artificial Intelligence 2

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

Speaker: Miss K. Siegersma (Amsterdam, NL)

Event: Digital Health 2019

Congress Presentation

Add to my library

About the speaker

Miss Klaske Rynke Siegersma

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

2 presentations

0 follower

4 more presentations in this session

Cardiomatics - AI for ECG analysis.

Speaker: Doctor R. Samborski (Krakow, PL)

ClaritySoft: an online artificial intelligence framework to support data collection in communities and improve chronic disease management.

Speaker: Doctor L. Carvalho (Brasilia, BR)

WITHDRAWN - Atrial fibrillation risk prediction from photoplethysmogram recording with machine learning approach.

WITHDRAWN - Cardio.AI - AI platform for automatic annotation and interpretation of long and short ECGs and detect more than 100 beat and rhythm abnormalities.

Access the full session

Artificial Intelligence 2

Speakers: Miss K. Siegersma, Doctor R. Samborski, Doctor L. Carvalho

About the event

Digital Health 2019

5 October - 6 October 2019

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources