Machine-learning algorithm utilizing serial high-sensitivity cardiac troponin I concentrations for ruling-out acute myocardial infarction

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Machine-learning algorithm utilizing serial high-sensitivity cardiac troponin I concentrations for ruling-out acute myocardial infarction

Session: Cardiac troponins: starting levels and outcomes

Topic: Diagnostic Methods, Other

Speaker: Associate Professor Y. Sandoval (Minneapolis, US)

Event: ESC Congress 2018

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About the speaker

Associate Professor Yader Sandoval

Minneapolis Heart Institute Foundation, Minneapolis (United States of America)

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9 more presentations in this session

High-sensitivity cardiac troponin I and clinical risk scores in patients with suspected acute coronary syndrome

Speaker: Doctor A. Chapman (Edinburgh, GB)

Derivation and validation of a 0/1h-algorithm to diagnose myocardial infarction using cardiac myosin-binding protein c - direct comparison to hs-cTnI

Speaker: Doctor T. Kaier (London, GB)

Early Differentiation of Type 1 versus Type 2 Myocardial Infarction

Speaker: Doctor T. Nestelberger (Basel, CH)

Left-ventricular non-compaction: a multimodality imaging approach to trabeculation quantification allows refinement of diagnostic criteria

Speaker: Doctor V. Donghi (Rozzano, IT)

Prognostic value of a positive troponin across the age spectrum in over a quarter of a million patients (NHIC Troponin Study)

Speaker: Doctor A. Kaura (London, GB)

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Cardiac troponins: starting levels and outcomes

Speakers: Associate Professor Y. Sandoval, Doctor A. Chapman, Doctor T. Kaier, Doctor T. Nestelberger, Doctor V. Donghi...

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ESC Congress 2018

25 August - 29 August 2018

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