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WIMC 2024

A Novel and Contemporary Machine-Learning Based Score to Assess Bleeding in AF Patients Undergoing OAC Treatment

A machine-learning based bleeding-risk score for atrial fibrillation patients receiving oral anticoagulation.

WIMC2024Conference presentationAwarded

Session details

2024 / Warsaw, Poland

WIMC

3rd place, Cardiology session

Materials pending

Summary

What the session covered and why it mattered.

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This presentation introduced a contemporary bleeding-risk score for anticoagulated atrial fibrillation patients. The emphasis was on clinically usable stratification and transparent framing of risk in a treatment setting where tradeoffs matter.

Session context

WIMC 2024

2024 / Warsaw, Poland

Conference presentation

Outcome

Recognition, result, and the talk's core takeaway.

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Result

3rd place, Cardiology session

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Takeaway

Evidence that risk scoring work is being shaped for practical clinical decision support rather than benchmark-only lift.

Tags

cardiologyatrial fibrillationbleeding riskrisk score

Assets

Published materials and explicit pending states.

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Materials pending

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Contact

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