Learning from local to global: An efficient distributed algorithm for modeling time-to-event data is a research paper published in Journal of the American Medical Informatics Association (2020). On theSindex it has a DataRank of 0. It has been cited 76 times.
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National Institutes of Health
Grant: 1R01LM012607
National Institutes of Health
Grant: 1R01AI130460
National Institutes of Health
Grant: 5R01LM010098
National Institutes of Health
Grant: UL1TR001427
National Institutes of Health
Grant: R21AG061431
National Institutes of Health
Grant: R01CA246418
National Institutes of Health
Grant: 1R01AI116794
PEDSnet Clinical Research Infrastructure
Grant: RI-CRN-2020-007
NLM NIH HHS
Grant: R01 LM012607
NLM NIH HHS
Grant: R01 LM010098
NIAID NIH HHS
Grant: R01 AI116794
NIAID NIH HHS
Grant: R01 AI130460
National Institutes of Health
Grant: 1R01AI130460-01
Dynamic learning for post-vaccine event prediction using temporal information in VAERS
National Institutes of Health
Grant: 5R01LM010098-14
Bioinformatics Strategies for Genome Wide Association Studies
National Institutes of Health
Grant: 5R01LM012607-03
A General Framework to Account for Outcome Reporting Bias in Systematic Reviews
National Institutes of Health
Grant: 5R01AI116794-03
Biomedical Computing and Informatics Strategies for Infectious Disease Research
National Institutes of Health
Grant: 5UL1TR001427-08
Together: Transforming and Translating Discovery to Improve Health
National Institutes of Health
Grant: 5R01LM010098-08
Bioinformatics Strategies for Genome-Wide Association Studies
National Institutes of Health
Grant: 5R01CA246418-04
The benefits and harms of lung cancer screening in Florida
NIH
Patient-Centered Outcomes Research Institute
Cancer Informatics and eHealth Core
University of Florida Health Cancer Center
FWCI
8.44
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals