Cardiology’s new crystal ball: machine learning for outcome prediction
Author:
Affiliation:
1. CORRIB Research Centre for Advanced Imaging and Core Laboratory, University of Galway , University Road , Galway H91 TK33, Ireland
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/eurheartj/article-pdf/45/8/610/56731376/ehad847.pdf
Reference8 articles.
1. Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets;Ascenzo;Lancet,2021
2. Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial data;Rousset;Eur Heart J Digital Health,2021
3. Can machine learning reveal undiscovered clinically important factors to predict long-term mortality in complex coronary artery disease? A call for ‘big data’;Ninomiya;Eur Heart J Digit Health,2023
4. Merging machine learning and patient preference: a novel tool for predicting risk of percutaneous coronary interventions;Hamilton;Eur Heart J,2024
5. Sex-specific evaluation and redevelopment of the GRACE score in non-ST-segment elevation acute coronary syndromes in populations from the UK and Switzerland: a multinational analysis with external cohort validation;Wenzl;Lancet,2022
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Innovative approaches to risk stratification in interventional cardiology;European Heart Journal;2024-02-21
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