Automated extraction of weight, height, and obesity in electronic medical records are highly valid
Abstract Objective Coding of obesity using the International Classification of Diseases (ICD) in healthcare administrative databases is under‐reported and thus unreliable for measuring prevalence or incidence. This study aimed to develop and test a rule‐based algorithm for automating the detection a...
Main Authors: | Namneet Sandhu, Alexander Krusina, Hude Quan, Robin Walker, Elliot A. Martin, Cathy A. Eastwood, Danielle A. Southern |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
|
Series: | Obesity Science & Practice |
Subjects: | |
Online Access: | https://doi.org/10.1002/osp4.705 |
Similar Items
-
Predictors of Weight Loss in Obese Older Adults: Findings from the USA and the UK
by: Sarah E. Jackson, et al.
Published: (2014-03-01) -
The association between obesity-related legislation in the United States and adolescents’ weight
by: Annita Kobes, et al.
Published: (2022-12-01) -
Excess weight and obesity prevalence in the RPS Brazilian Birth Cohort Consortium (Ribeirão Preto, Pelotas and São Luís)
by: Carolina Abreu de Carvalho, et al.
Published: (2021-05-01) -
Health Data Governance for Research Use in Alberta
by: Namneet Sandhu, et al.
Published: (2023-10-01) -
Trends in Obesity and Abdominal Obesity in the Older Adult Population of Spain (2000-2010)
by: Juan Luis Gutiérrez-Fisac, et al.
Published: (2013-02-01)