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

Overview of attention for article published in Catheterization and Cardiovascular Interventions (Formerly Catheterization and Cardiovascular Diagnosis), May 2023

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twitter: 4 X users

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RT @IofPHC: Having a culprit lesion means you should go to the lab- here’s some machine learning work on predicting who has such a lesion…

Having a culprit lesion means you should go to the lab- here’s some machine learning work on predicting who has such a lesion https://t.co/wvkF6M3SGC #resusscience24

@DrDMcGregor @TharushaGunawa4 @GoodSamApp AFAIK the app is a (fantastic) tool that allows you to quickly calculate a SCAI classification, a MIRACLE2 score, and the chance of a culprit lesion, as per: https://t.co/nRDDizoOj6 I think the beta has been w…

A novel simple machine learning-derived algorithm can be applied to patients with out-of-hospital cardiac arrest, to predict a culprit coronary artery disease lesion with high accuracy https://t.co/lc8Qkvzlu9 @ccijournal https://t.co/LBPK4HDkBB

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