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The promise of machine learning models in cardiovascular risk prediction : Machine learning predictions of the adverse events of different treatments in patients with ischemic left ventricular systolic dysfunction.

作者信息

Cardona Andrea

机构信息

Division of Internal Medicine and Sport Cardiology, Media Valle del Tevere Hospital, Todi, Umbria, Italy.

Advanced Cardiovascular Diagnostics Service, Regional Healthcare Unit, Todi, Umbria, Italy.

出版信息

Intern Emerg Med. 2024 Oct;19(7):1805-1806. doi: 10.1007/s11739-024-03759-5. Epub 2024 Sep 4.

DOI:10.1007/s11739-024-03759-5
PMID:39231876
Abstract
摘要

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本文引用的文献

1
A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction.心脏病学家在心血管疾病预后预测中的机器学习指南。
Basic Res Cardiol. 2023 Mar 20;118(1):10. doi: 10.1007/s00395-023-00982-7.
2
Evaluation and Management of Patients With Stable Angina: Beyond the Ischemia Paradigm: JACC State-of-the-Art Review.稳定性心绞痛患者的评估与管理:超越缺血性范式——美国心脏病学会的现状评估。
J Am Coll Cardiol. 2020 Nov 10;76(19):2252-2266. doi: 10.1016/j.jacc.2020.08.078.
3
Machine learning prediction in cardiovascular diseases: a meta-analysis.
机器学习在心血管疾病中的预测:一项荟萃分析。
Sci Rep. 2020 Sep 29;10(1):16057. doi: 10.1038/s41598-020-72685-1.