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本文引用的文献

1
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.深度神经网络可通过 12 导联心电图预测新发心房颤动，并有助于识别心房颤动相关卒中风险。
Circulation. 2021 Mar 30;143(13):1287-1298. doi: 10.1161/CIRCULATIONAHA.120.047829. Epub 2021 Feb 16.
2
Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device.使用移动心电图设备通过人工智能评估心率校正QT间期
Circulation. 2021 Mar 30;143(13):1274-1286. doi: 10.1161/CIRCULATIONAHA.120.050231. Epub 2021 Feb 1.
3
What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images.深度学习所见：从 CT 图像预测对比增强阶段的分类器训练所得到的见解。
AJR Am J Roentgenol. 2018 Dec;211(6):1184-1193. doi: 10.2214/AJR.18.20331. Epub 2018 Nov 7.
4
Mastering the game of Go without human knowledge.无需人类知识即可掌握围棋游戏。
Nature. 2017 Oct 18;550(7676):354-359. doi: 10.1038/nature24270.
5
Mastering the game of Go with deep neural networks and tree search.用深度神经网络和树搜索掌握围棋游戏。
Nature. 2016 Jan 28;529(7587):484-9. doi: 10.1038/nature16961.
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Deep learning.深度学习。
Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.
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Human-level control through deep reinforcement learning.通过深度强化学习实现人类水平的控制。
Nature. 2015 Feb 26;518(7540):529-33. doi: 10.1038/nature14236.

Trusting Magic: Interpretability of Predictions From Machine Learning Algorithms.

作者信息

Rosenberg Michael A

机构信息

Cardiac Electrophysiology Section, Division of Cardiology; and Colorado Center for Personalized Medicine, Anschutz Medical Campus, University of Colorado School of Medicine, Aurora.

出版信息

Circulation. 2021 Mar 30;143(13):1299-1301. doi: 10.1161/CIRCULATIONAHA.121.053733. Epub 2021 Mar 29.

DOI:10.1161/CIRCULATIONAHA.121.053733
PMID:33779269
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8010916/
Abstract
摘要