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Machine learning to predict myocardial injury and...
Journal article

Machine learning to predict myocardial injury and death after non‐cardiac surgery

Abstract

Myocardial injury due to ischaemia within 30 days of non-cardiac surgery is prognostically relevant. We aimed to determine the discrimination, calibration, accuracy, sensitivity and specificity of single-layer and multiple-layer neural networks for myocardial injury and death within 30 postoperative days. We analysed data from 24,589 participants in the Vascular Events in Non-cardiac Surgery Patients Cohort Evaluation study. Validation was …

Authors

Nolde JM; Schlaich MP; Sessler DI; Mian A; Corcoran TB; Chow CK; Chan MTV; Borges FK; McGillion MH; Myles PS

Journal

Anaesthesia, Vol. 78, No. 7, pp. 853–860

Publisher

Wiley

Publication Date

7 2023

DOI

10.1111/anae.16024

ISSN

0003-2409