External validation of the myocardial-ischemic-injury-index: a machine learning algorithm for the early diagnosis of myocardial infarction

Back

ESC Professional Premium Access

External validation of the myocardial-ischemic-injury-index: a machine learning algorithm for the early diagnosis of myocardial infarction

Session: Machine learning to improve care of acute coronary syndromes

Topic: Biomarkers

Speaker: Doctor P. Lopez Ayala (Basel, CH)

Event: ESC Congress 2023

Congress Presentation

Add to my library

About the speaker

Doctor Pedro Lopez Ayala

University Hospital Basel, Basel (Switzerland)

2 presentations

0 follower

5 more presentations in this session

The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes

Speaker: Doctor L. Carvalho (Brasilia, BR)

Derivation and external validation of machine-learning- models for risk stratification in chest pain with normal troponin

Speaker: Doctor P. Lopez Ayala (Basel, CH)

Machine learning versus guideline recommended pathways for the diagnosis of myocardial infarction

Speaker: Doctor J. Boeddinghaus (Basel, CH)

Machine learning for in-hospital cardiac events prediction in patients with acute coronary syndrome: results from ADDICT-ICCU study

Speaker: Doctor E. Gall (Paris, FR)

Deep learning to predict long-term mortality from plain chest radiographs in patients referred for suspected angina

Speaker: Doctor M. Massussi (Brescia, IT)

Access the full session

Machine learning to improve care of acute coronary syndromes

Speakers: Doctor P. Lopez Ayala, Doctor L. Carvalho, Doctor P. Lopez Ayala, Doctor J. Boeddinghaus, Doctor E. Gall...

Access

Video

About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources