TASTE is a research paper published in PubMed (2020). On theSindex it has a DataRank of 0. It has been cited 36 times.
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National Science Foundation
Grant: IIS-1418511, CCF1533768, IIS-1838042, IIS-1838200
National Institutes of Health
Grant: 1R01MD011682-01, R56HL138415, 1K01LM012924-01
NLM NIH HHS
Grant: K01 LM012924
NHLBI NIH HHS
Grant: R56 HL138415
NIMHD NIH HHS
Grant: R01 MD011682
NHLBI NIH HHS
Grant: R56 HL116832
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 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 Institutes of Health
Grant: 1R01MD011682-01
Reducing Disparities among Kidney Transplant Recipients
National Institutes of Health
Grant: 2R56HL116832-04
Electronic Health Record Data and Predictive Analytic Methods for HF
National Institutes of Health
Grant: 1K01LM012924-01
Leveraging modern analytic approaches to improve diabetes outcomes
National Science Foundation
Grant: 1838200
BigData:IA:Collaborative Research: TIMES: A tensor factorization platform for spatio-temporal data
FWCI
4.49
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals