Leveraging natural language processing to augment structured social determinants of health data in the electronic health record is a research paper published in Journal of the American Medical Informatics Association (2023). 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 →NCI NIH HHS
Grant: R21 CA258242
Biomedical and Health Informatics Training Program at the University of Washington
Grant: T15LM007442
NCATS NIH HHS
Grant: UL1 TR002319
National Cancer Institute
Grant: R21CA258242-01S1
National Institutes of Health
Grant: 3UL1TR002319-02S1
Transform Dissemination and Implementation Science in CTSA Programs
National Institutes of Health
Grant: 5T15LM007442-07
Biomedical and Health Informatics Training Program
National Institutes of Health
Grant: 1R21CA258242-01
Extraction of Symptom Burden from Clinical Narratives of Cancer Patients using Natural Language Processing
National Library of Medicine
National Institutes of Health
National Center for Advancing Translational Sciences
FWCI
17.01
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals