Machine learning prediction of in-hospital mortality and external validation in patients with cardiogenic shock: the RESCUE score

Back

ACVC Premium Access

Machine learning prediction of in-hospital mortality and external validation in patients with cardiogenic shock: the RESCUE score

Session: Young Investigator Awards

Topic: Cardiogenic Shock

Speaker: Doctor J. Cha (Seoul, KR)

Event: ESC Acute CardioVascular Care 2023

Congress Presentation

Add to my library

About the speaker

Doctor Ji Hyun Cha

Samsung Medical Center, Seoul (Korea (Republic of))

1 presentation

0 follower

4 more presentations in this session

Culprit-only versus immediate multi-vessel revascularization in patients with AMI complicated by advanced cardiogenic shock undergoing VA-ECMO

Speaker: Assistant Professor K. Choi (Seoul, KR)

Fixed-dose ultrasound-accelerated thrombolysis for acute pulmonary embolism: short- and long-term outcome data from a single-center study

Speaker: Doctor S. Zbinden (Zurich, CH)

Reperfusion therapies in elderly and frail patients with pulmonary embolism: a nationwide inpatient sample analysis.

Speaker: Mr I. Farmakis (Mainz, DE)

Centralisation of post-resuscitation care after out-of-hospital cardiac arrest at heart centres - a nationwide follow-up study

Speaker: Miss S. Rasalingam Mork (Aarhus, DK)

Access the full session

Young Investigator Awards

Speakers: Doctor J. Cha, Assistant Professor K. Choi, Doctor S. Zbinden, Mr I. Farmakis, Miss S. Rasalingam Mork

Access

Video

About the event

ESC Acute CardioVascular Care 2023

24 March - 26 March 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources