Conference Paper/Proceeding/Abstract 793 views 128 downloads
Machine learning approaches in for prediction of 1-year risk of major bleeding events in anticoagulated atrial fibrillation patients with atrial fibrillation in Wales.
Fatemeh Torabi 
,
Arron Lacey,
Ashley Akbari ,
Daniel Harris,
Ronan Lyons ,
Julian Halcox ,
Michael Gravenor
,
Arron Lacey,
Ashley Akbari ,
Daniel Harris,
Ronan Lyons ,
Julian Halcox ,
Michael Gravenor
ESC Heart & Stroke 2020
Swansea University Authors:
Fatemeh Torabi , Arron Lacey, Ashley Akbari , Daniel Harris, Ronan Lyons , Julian Halcox , Michael Gravenor
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DOI (Published version): 10.13140/RG.2.2.14854.11840
Abstract
Machine learning approaches in for prediction of 1-year risk of major bleeding events in anticoagulated atrial fibrillation patients with atrial fibrillation in Wales.
| Published in: | ESC Heart & Stroke 2020 |
|---|---|
| Published: |
Barcelona
2020
|
| Online Access: |
https://escheart-stroke2020.org/programme/ |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa53813 |
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| College: |
Faculty of Medicine, Health and Life Sciences |
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