Evaluation of repeated machine learning-based phenotyping in patients with cardiogenic shock

2 September 2024 (13:39 - 13:51)

Organised by:

Video

Sign in for access options

Abstract

Slides

About the speaker

Doctor Elric Zweck

University Hospital Duesseldorf, Duesseldorf (Germany)

4 More presentations in this session

Presentation thumbnail

Influence of hospital ownership on patient outcomes in STEMI-induced cardiogenic shock undergoing revascularization: a retrospective cohort study

Doctor J. Sequeira Gross (Fort Myers, US)

Abstract Slides Video

Presentation thumbnail

The effect of treatment srategy for acute myocardial infarction complicated by cardiac shock using Impella in accordance with institutional protocol

Doctor T. Tada (Kurashiki, JP)

Abstract Slides Video

Presentation thumbnail

Patient characteristics and clinical outcome in acute myocardial infarction related cardiogenic shock according to vascular access site for PCI

Mrs E. Peters (Amsterdam, NL)

Abstract Slides Video

Presentation thumbnail

Influence of timing of impella insertion on the prognosis of acute myocardial infarction complicated with cardiogenic shock requiring ECPELLA

Doctor K. Shimamoto (Kyoto, JP)

Abstract Slides Video

Access the full session

Session thumbnail

Management and prognostication in acute myocardial infarction cardiogenic shock

The Event

Event poster

ESC Congress 2024

2 September 2024 13:39 CET

You may be interested in

Congress Presentation

Clinical outcomes of patients in cardiogenic shock phenotypes: data from the cardiogenic shock working group registry

Congress Presentation

Understanding the stages of cardiogenic shock

Congress Presentation

Serial shock severity assessment within seventy-two hours after diagnosis: a cardiogenic shock working group report

ESC 365 is supported by

novartis

Explore sponsored resources

novo-nordisk

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources

novo-nordisk

Explore sponsored resources