Article

Using set visualization techniques to investigate and explain patterns of missing values in electronic health records

2022-05-16

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objectives</h4> Missing data is the most common data quality issue in electronic health records (EHRs). Checks are typically limited to counting the number of missing values in individual fields, but researchers and organisations need to understand multi-field missing data patterns, and counts or numerical summaries are poorly suited to that. This study shows how set-based visualization enabl...

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Literature Corpus work: 5fde136a-439e-5a85-8c5e-fff25c39caf7
DOI: 10.1101/2022.05.13.22275041

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