Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit

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Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit

Session: Artificial intelligence, biomarkers, and scoring systems for prognostication in the intensive cardiac care unit

Topic: Cardiac Care Unit (CCU), Intensive, and Critical Cardiovascular Care

Speaker: Doctor O. Weizman (Boulogne Billancourt, FR)

Event: ESC Congress 2023

Congress Presentation

About the speaker

Doctor Orianne Weizman

Ambroise Pare Aphp Site of Ouest University Hospital, Boulogne Billancourt (France)

2 presentations

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8 more presentations in this session

Utilisation of artificial intelligence to predict early readmission to the cardiac intensive care unit in critically ill patients

Speaker: Doctor T. Thevathasan (Berlin, DE)

A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest

Speaker: Doctor R. Roy (London, GB)

Prognostic scores in predicting 90-day mortality in the cardiac intensive care units

Speaker: Mr P. Koutsoumpos (Athens, GR)

The MIRACLE2 risk score is associated with cognitive function, referral burden and discharge outcome

Speaker: Doctor M. Singh (London, GB)

External validation of the M-CARS score for mortality risk in coronary intensive care units

Speaker: Doctor A. Chierice (Ribeirao Preto, BR)

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Artificial intelligence, biomarkers, and scoring systems for prognostication in the intensive cardiac care unit

Speakers: Doctor O. Weizman, Doctor T. Thevathasan, Doctor R. Roy, Mr P. Koutsoumpos, Doctor M. Singh...

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit

About the speaker

Doctor Orianne Weizman

8 more presentations in this session

Utilisation of artificial intelligence to predict early readmission to the cardiac intensive care unit in critically ill patients

A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest

Prognostic scores in predicting 90-day mortality in the cardiac intensive care units

The MIRACLE2 risk score is associated with cognitive function, referral burden and discharge outcome

External validation of the M-CARS score for mortality risk in coronary intensive care units

Access the full session

Artificial intelligence, biomarkers, and scoring systems for prognostication in the intensive cardiac care unit

About the event

ESC Congress 2023

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