ESC 365 - Performance of a machine learning model vs. IMPROVE score for VTE prediction in acute medically ill patients: insights from the APEX trial

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Performance of a machine learning model vs. IMPROVE score for VTE prediction in acute medically ill patients: insights from the APEX trial

Session: Young Investigator Award Session Thrombosis

Topic: Scores

Speaker: Doctor T. Nafee (Boston, US)

Event: ESC Congress 2018

Congress Presentation

About the speaker

Doctor Tarek Nafee

Harvard Medical School, Boston (United States of America)

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3 more presentations in this session

Derivation and external validation of a new score to predict pulmonary embolism related mortality and/or thrombolysis at 30-days

Speaker: Doctor P. Freitas (Carnaxide, PT)

Coronary artery disease is an independent risk factor for ischemic stroke among patients with atrial fibrillation

Speaker: Miss K. Steensig (Aalborg, DK)

Predicting in-hospital major bleeding in pulmonary embolism patients treated with systemic thrombolytic therapy

Speaker: Mr K. Kresoja (Leipzig, DE)

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Young Investigator Award Session Thrombosis

Speakers: Doctor T. Nafee, Doctor P. Freitas, Miss K. Steensig, Mr K. Kresoja

About the event

ESC Congress 2018

7 November - 29 August 2018

Sessions Presentations

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