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

Nilesh Pareek Christopher FrohmaierMathew SmithPeter KordisAntonio CannataJo NevettRachael FothergillRobert C NicholMark SullivanNicholas SunderlandThomas W JohnsonMarko NocJonathan ByrnePhilip MacCarthyAjay M Shah

Published in: Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions (2023)

A novel simple machine learning-derived algorithm can be applied to patients with OHCA, to predict a culprit coronary artery disease lesion with high accuracy.

Keyphrases

machine learning
coronary artery disease
artificial intelligence
big data
deep learning
cardiovascular events
percutaneous coronary intervention
heart failure
type diabetes
cardiovascular disease
acute coronary syndrome
coronary artery bypass grafting
transcatheter aortic valve replacement