Improving large language models for clinical named entity recognition via prompt engineering is a research paper published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0.853. It has been cited 293 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.853
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 βNational Institutes of Health
Grant: R21EB029575
National Institutes of Health
Grant: R21AI164100
National Institutes of Health
Grant: R01LM011934
National Institutes of Health
Grant: 1K99LM01402
National Institutes of Health
Grant: R01AG066749
National Institutes of Health
Grant: R01AG066749-03S1
National Institutes of Health
Grant: R01LM013712
National Institutes of Health
Grant: U01TR002062
National Institute on Aging
Grant: 1RF1AG072799
National Institute on Aging
Grant: 1R01AG080429
Cancer Prevention and Research Institute of Texas
Grant: RR180012
National Science Foundation
Grant: 2124789
Collaborative Research: SaTC: CORE: Medium: PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data
NIA NIH HHS
Grant: R01 AG080429
NCATS NIH HHS
Grant: UL1 TR001863
NIA NIH HHS
Grant: RF1 AG072799
NIA NIH HHS
Grant: R01 AG072799
National Institutes of Health
Grant: 5U01TR002062-02
Open Health Natural Language Processing Collaboratory
National Institutes of Health
Grant: 2R01LM011934-06A1
Semi-structured Information Retrieval in Clinical Text for Cohort Identification
National Institutes of Health
Grant: 7R21AI164100-02
Use of NLP to Extract Risk Indicators for Immunologic Disease from the Text of EHRs (UNIITE)
National Institutes of Health
Grant: 5R01LM013712-08
Decentralized differentially-private methods for dynamic data release and analysis
National Institutes of Health
Grant: 5K08AI001402-06
LEGIONELLA PNEUMOPHILA VIRULENCE FACTORS DEFINED IN VIVO
National Institutes of Health
Grant: 1RF1AG072799-01
Facilitate Observational Studies of Alzheimer's Disease and Alzheimer's Disease-Related Dementias Using Ontology and Natural Language Processing
National Institutes of Health
Grant: 5R01AG080429-03
Leveraging Longitudinal Data and Informatics Technology to Understand the Role of Bilingualism in Cognitive Resilience, Aging and Dementia
National Institutes of Health
Grant: 1R21EB029575-01
Fine-grained spatial information extraction for radiology reports
National Institutes of Health
Grant: 5R01AG066749-04
Finding combinatorial drug repositioning therapy for Alzheimer's disease and related dementias
Fields of Study
MeSH Terms
Keywords