Erratum: Automated identification of implausible values in growth data from pediatric electronic health records (Journal of the American Medical Informatics Association (2017) 24:6 (1080-1087) DOI: 10.1093/jamia/ocx037)

Carrie Daymont, Michelle E. Ross, A. Russell Localio, Alexander G. Fiks, Richard C. Wasserman, Robert W. Grundmeier

Research output: Contribution to journalComment/debatepeer-review

Abstract

There were two errors in Supplemental File 1, the Stata code, one in how an absolute value is taken throughout the algorithm and one corresponding to step 12ei. There is one error in Supplemental File 2, the R code, corresponding to step 12eii. There is one error in Supplemental File 3, in step 12ei. In Supplemental File Folder 4, there are errors in three total rows of the two WHO height velocity tables. Correction of all of these errors resulted in minimal differences in tested datasets. Corrected versions of Supplemental Files 1 and 3 are available at github.com/carriedaymont/original-gcalgorithm-corrections. Corrected versions of Supplemental Files 2 and 4, along with an updated and expanded version of the algorithm, are available at github.com/carriedaymont/growthcleanr.

Original languageEnglish (US)
Pages (from-to)223
Number of pages1
JournalJournal of the American Medical Informatics Association
Volume29
Issue number1
DOIs
StatePublished - Jan 1 2022

All Science Journal Classification (ASJC) codes

  • Health Informatics

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