Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort is a research paper published in Journal of the American Medical Informatics Association (2022). On theSindex it has a DataRank of 0. It has been cited 6 times.
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National Institutes of Health
Grant: NIH T15 LM007450
National Institutes of Health
Grant: NIH K01 HL157755-01
National Institutes of Health
Grant: NIH U01 HG01166-01S1
National Institutes of Health
Grant: NIH R01 GM139891-01
Francis Family Foundation
Grant: UL1 TR002243
NLM NIH HHS
Grant: T15 LM007450
NHLBI NIH HHS
Grant: K01 HL157755
NIGMS NIH HHS
Grant: R01 GM139891
National Institutes of Health
Grant: 5UL1TR002243-05
Vanderbilt Institute for Clinical and Translational Research (VICTR)
National Institutes of Health
Grant: 5T15LM007450-18
Vanderbilt Biomedical Informatics Training Program
National Institutes of Health
Grant: 5R01GM139891-02
PheMAP: Measured, Automated Profile to Facilitate High Throughput Phenotyping
National Institutes of Health
Grant: 5K01HL157755-02
Tissue-specific functional genomics in the acute respiratory distress syndrome
American Thoracic Society
National Center for Advancing Translational Sciences
FWCI
0.70
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals