A machine learning approach to leveraging electronic health records for enhanced omics analysis is a research paper published in Nature Machine Intelligence (2025). On theSindex it has a DataRank of 0.578. It has been cited 46 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?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.578
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 →U.S. Department of Health & Human Services | National Institutes of Health
Grant: R35GM138353
Burroughs Wellcome Fund
Grant: 1019816
Bill and Melinda Gates Foundation
Grant: INV-076306
Bill and Melinda Gates Foundation
Grant: INV-037517
National Science Foundation
Grant: DGE-2146755
National Institutes of Health
Grant: 5R35GM138353-03
Machine Learning for Integrative Modeling of the Immune System in Clinical Settings
National Science Foundation
Grant: 2146755
Graduate Research Fellowship Program (GRFP)
FWCI
18.08
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords