Predicting the risk of in-hospital Asian NSTEMI patients using stacked ensemble learning

Back

ESC Professional Premium Access

Predicting the risk of in-hospital Asian NSTEMI patients using stacked ensemble learning

Session: Artificial intelligence: the new clinical workhorse?

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Professor S. Kasim (Kuala Lumpur, MY)

Event: ESC Congress 2023

Congress Presentation

Add to my library

About the speaker

Professor Sazzli Kasim

University of Technology Mara (UiTM), Kuala Lumpur (Malaysia)

2 presentations

0 follower

6 more presentations in this session

Validation of an artificial intelligence model for 12-lead ECG interpretation

Speaker: Doctor A. Demolder (Aalst, BE)

ChatGPT takes on the european exam in core cardiology: an AI success story

Speaker: Doctor I. Skalidis (Lausanne, CH)

Hybrid Artificial Intelligence Outcome Prediction Using Feature Extraction from Stress Perfusion Cardiac Magnetic Resonance Images and Electronic Health Records

Speaker: Doctor E. Alskaf (London, GB)

Performance of modified ResNet model for calcium score from non-contrast computed tomography

Speaker: Doctor E. Tan (Singapore, SG)

Validation of electrocardiographic artificial intelligence model for outcome prediction in patients with heart failure

Speaker: Doctor Y. Cho (Seongnam, KR)

Access the full session

Artificial intelligence: the new clinical workhorse?

Speakers: Professor S. Kasim, Doctor A. Demolder, Doctor I. Skalidis, Doctor E. Alskaf, Doctor E. Tan...

Access

About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources