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- W4311496562 abstract "According to European Society of Cardiology, cardiovascular disease (CVD) accounts for 3.9 million deaths/year in Europe. In recent years, artificial intelligence (AI)-driven machine learning (ML) has shown promise in CVD risk prediction. This study aimed to summarise the composite predictive ability of AI/ML algorithms to improve CVD risk prediction in focused populations." @default.
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- W4311496562 date "2022-12-01" @default.
- W4311496562 modified "2023-09-26" @default.
- W4311496562 title "MSR19 An Update on Real-Time Application of Machine Learning Programs to Improve Cardiovascular Risk Prediction in European Population" @default.
- W4311496562 doi "https://doi.org/10.1016/j.jval.2022.09.1751" @default.
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