Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation is a research paper published in Cardiovascular Digital Health Journal (2022). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: RF1AG072449
National Center for Advancing Translational Sciences
Grant: U54 TR001433-05
National Science Foundation
Grant: NSF 1750326
NIH HHS
Grant: S10 OD026880
NIH HHS
Grant: S10 OD030463
National Institutes of Health
Grant: 5UL1TR001433-02
MSHS Translational Science Hub
National Science Foundation
Grant: 1750326
CAREER: Interpretable Deep Modeling of Discrete Time Event Sequences
National Institutes of Health
Grant: 3RF1AG072449-01S1
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
Prometheus Biosciences
Icahn School of Medicine at Mount Sinai
Fields of Study
Keywords