Literature DB >> 33779269

Trusting Magic: Interpretability of Predictions From Machine Learning Algorithms.

Michael A Rosenberg1.   

Abstract

Entities:  

Keywords:  Editorials; Torsades de pointes; atrial fibrillation; electrocardiography; machine learning; sudden cardiac death

Mesh：

Year:  2021        PMID： 33779269      PMCID： PMC8010916          DOI： 10.1161/CIRCULATIONAHA.121.053733

Source DB:  PubMed          Journal:  Circulation        ISSN： 0009-7322            Impact factor:   29.690


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  7 in total

1.  Mastering the game of Go with deep neural networks and tree search.

Authors:  David Silver; Aja Huang; Chris J Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2016-01-28       Impact factor: 49.962

Review 2.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

3.  What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images.

Authors:  Kenneth A Philbrick; Kotaro Yoshida; Dai Inoue; Zeynettin Akkus; Timothy L Kline; Alexander D Weston; Panagiotis Korfiatis; Naoki Takahashi; Bradley J Erickson
Journal:  AJR Am J Roentgenol       Date:  2018-11-07       Impact factor: 3.959

4.  Mastering the game of Go without human knowledge.

Authors:  David Silver; Julian Schrittwieser; Karen Simonyan; Ioannis Antonoglou; Aja Huang; Arthur Guez; Thomas Hubert; Lucas Baker; Matthew Lai; Adrian Bolton; Yutian Chen; Timothy Lillicrap; Fan Hui; Laurent Sifre; George van den Driessche; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2017-10-18       Impact factor: 49.962

5.  Human-level control through deep reinforcement learning.

Authors:  Volodymyr Mnih; Koray Kavukcuoglu; David Silver; Andrei A Rusu; Joel Veness; Marc G Bellemare; Alex Graves; Martin Riedmiller; Andreas K Fidjeland; Georg Ostrovski; Stig Petersen; Charles Beattie; Amir Sadik; Ioannis Antonoglou; Helen King; Dharshan Kumaran; Daan Wierstra; Shane Legg; Demis Hassabis
Journal:  Nature       Date:  2015-02-26       Impact factor: 49.962

6.  Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device.

Authors:  John R Giudicessi; Matthew Schram; J Martijn Bos; Conner D Galloway; Jacqueline B Shreibati; Patrick W Johnson; Rickey E Carter; Levi W Disrud; Robert Kleiman; Zachi I Attia; Peter A Noseworthy; Paul A Friedman; David E Albert; Michael J Ackerman
Journal:  Circulation       Date:  2021-02-01       Impact factor: 29.690

7.  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.

Authors:  Sushravya Raghunath; John M Pfeifer; Brandon K Fornwalt; Christopher M Haggerty; Alvaro E Ulloa-Cerna; Arun Nemani; Tanner Carbonati; Linyuan Jing; David P vanMaanen; Dustin N Hartzel; Jeffery A Ruhl; Braxton F Lagerman; Daniel B Rocha; Nathan J Stoudt; Gargi Schneider; Kipp W Johnson; Noah Zimmerman; Joseph B Leader; H Lester Kirchner; Christoph J Griessenauer; Ashraf Hafez; Christopher W Good
Journal:  Circulation       Date:  2021-02-16       Impact factor: 29.690
  7 in total
  1 in total

1.  Research on E-Commerce Database Marketing Based on Machine Learning Algorithm.

Authors:  Nie Chen
Journal:  Comput Intell Neurosci       Date:  2022-06-29
  1 in total

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