CONAN: Complementary Pattern Augmentation for Rare Disease Detection is a research paper published in Proceedings of the AAAI Conference on Artificial Intelligence (2020). On theSindex it has a DataRank of 0. It has been cited 37 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.
National Science Foundation
Grant: 1418511
SCH: INT: Collaborative Research: High-throughput Phenotyping on Electronic Health Records using Multi-Tensor Factorization
National Science Foundation
Grant: 1838042
BigData:IA:Collaborative Research: TIMES: A tensor factorization platform for spatio-temporal data
National Science Foundation
Grant: 1533768
XPS: FULL: DSD: A Parallel Tensor Infrastructure (ParTI!) for Data Analysis
National Institutes of Health
Grant: 1R56HL138415-01
Interpretable Deep Learning Model for Longitudinal Electronic Health Records and Applications to Heart Failure Prediction
National Institutes of Health
Grant: 1R01NS107291-01
Big Data and Deep Learning for the Interictal-Ictal-Injury Continuum
FWCI
3.11
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals