Age prediction from 12-lead electrocardiograms using deep learning: a comparison of four models on a contemporary, freely available dataset is a research paper published in Physiological Measurement (2024). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
Scored on demand from live citation data
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
0.208
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 Center for Advancing Translational Sciences
Grant: KL2TR003016
NCATS NIH HHS
Grant: UL1 TR003015
National Institutes of Health
Grant: 3UL1TR003015-03S1
The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve Health
National Institutes of Health
Grant: 1KL2TR003016-01
Institutional Career Development Core
FWCI
0.86
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals