Imputation of missing values for electronic health record laboratory data is a research paper published in npj Digital Medicine (2021). On theSindex it has a DataRank of 0.740. It has been cited 138 times.
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Linked data & code
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Base Score Contribution
0.740
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →U.S. Department of Health & Human Services | NIH | Center for Information Technology
Grant: R56HL116832
National Institutes of Health
Grant: 2R56HL116832-04
Electronic Health Record Data and Predictive Analytic Methods for HF
FWCI
17.58
Citation Percentile
1.0%
Influential Citations
3
Citation Trend
Fields of Study
Keywords
Additional file 1 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 1 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 2 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 2 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 3 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 3 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 4 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 4 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 5 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 5 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 6 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 6 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 7 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 7 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 12 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 12 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 8 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 8 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 10 of Studying missingness in spinal cord injury data: challenges and impact of data imputation
Additional file 11 of Studying missingness in spinal cord injury data: challenges and impact of data imputation