ESC 365 - Identification of reliable clinical variables for early prediction of outcome after out-of-hospital cardiac arrest using algorithm-based machine learning statistical methods

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Identification of reliable clinical variables for early prediction of outcome after out-of-hospital cardiac arrest using algorithm-based machine learning statistical methods

Session: Cardiac arrest is not the end is it?

Topic: Cardiac Arrest

Speaker: Doctor J. Johnsson (Helsingborg, SE)

Event: ESC Congress 2019

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About the speaker

Doctor Jesper Johnsson

Institution of Clinical Sciences, Lund University, Helsingborg (Sweden)

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4 more presentations in this session

Bystander cardiopulmonary resuscitation and survival in out-of-hospital cardiac arrest of non-cardiac origin

Speaker: Mr D. Christensen (Roskilde, DK)

The majority of 30-day survivors of in-hospital cardiac arrest are alive one-year post-arrest without anoxic brain damage, admission to nursing home or need of in-home care

Speaker: Mr H. Yonis (Hilleroed, DK)

Effects of witness status and time to cardiopulmonary resuscitation by emergency medical services on neurological outcomes in out-of-hospital cardiac arrest patients with non-shockable rhythm

Speaker: Assistant Professor A. Funada (Kanazawa, JP)

Association of cardiac output during targeted temperature management with mortality after out-of-hospital cardiac arrest

Speaker: Doctor J. Grand (Copenhagen, DK)

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Cardiac arrest is not the end is it?

Speakers: Doctor J. Johnsson, Mr D. Christensen, Mr H. Yonis, Assistant Professor A. Funada, Doctor J. Grand

About the event

ESC Congress 2019

31 August - 4 September 2019

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