This paper is in the following e-collection/theme issue:

Big Data (215) Reviews in Medical Informatics (82) Electronic Health Records (961) Tools, Programs and Algorithms (236) Clinical Informatics (904) Development and Evaluation of Research Methods, Instruments and Tools (422)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30328, first published .
Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms

Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms

Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms

Authors of this article:

Richard Evans1 Author Orcid Image ;   Jennifer Burns1 Author Orcid Image ;   Laura Damschroder1 Author Orcid Image ;   Ann Annis1, 2 Author Orcid Image ;   Michelle B Freitag1 Author Orcid Image ;   Susan Raffa3, 4 Author Orcid Image ;   Wyndy Wiitala1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Lin P, Rifas-Shiman S, Aris I, Daley M, Janicke D, Heerman W, Chudnov D, Freedman D, Block J. Cleaning of anthropometric data from PCORnet electronic health records using automated algorithms. JAMIA Open 2022;5(4) View
  2. Gavin K, Almeida E, Voils C, Crane M, Shaw R, Yancy W, Pendergast J, Olsen M. Comparison of weight captured via electronic health record and cellular scales to the gold‐standard clinical method. Obesity Science & Practice 2023;9(4):337 View