Design considerations for a hierarchical semantic compositional framework for medical natural language understanding is a research paper published in PLoS ONE (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.
Scored on demand from live citation data
Linked data & code
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.
National Cancer Institute
Grant: R01 CA226079
U.S. National Library of Medicine
Grant: R01 LM012309
National Cancer Institute
Grant: R01 CA157533
U.S. National Library of Medicine
Grant: R01 LM011333
National Institute of Allergy and Infectious Diseases
Grant: U24 AI117966
NCI NIH HHS
Grant: R01 CA151533
National Institutes of Health
Grant: 1U24AI117966-01
BioCADDIE: Biomedical and healthCAre Data Discovery and Indexing Engine center
National Institutes of Health
Grant: 5R01LM013039-02
HealthyMe/MiSalud Smartphone Application: Identifying Mechanisms to Engage African Americans and Hispanics in Personal Health Libraries
National Institutes of Health
Grant: 5R01CA226079-02
Individually-tailored clinical decision support for management of indeterminate pulmonary nodules
National Institutes of Health
Grant: 1R01HL157533-01A1
Development of Clinical Prediction Models for Pulmonary Outcomes in Sarcoidosis
National Institutes of Health
Grant: 3R01LM012309-04S2
Predicting Diabetic Retinopathy from Risk Factor Data and Digital Retinal Images
National Institutes of Health
Grant: 5R01LM011333-02
RUMI: A patient portal for retrieving understandable medical information
FWCI
0.26
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding