Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers

OBJECTIVE: The objective of this study is to develop an algorithm to accurately identify children with severe early onset childhood obesity (ages 1–5.99 years) using structured and unstructured data from the electronic health record (EHR). INTRODUCTION: Childhood obesity increases risk factors for c...

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Detalhes bibliográficos
Publicado no:Appl Clin Inform
Main Authors: Lingren, Todd, Thaker, Vidhu, Brady, Cassandra, Namjou, Bahram, Kennebeck, Stephanie, Bickel, Jonathan, Patibandla, Nandan, Ni, Yizhao, Van Driest, Sara L., Chen, Lixin, Roach, Ashton, Cobb, Beth, Kirby, Jacqueline, Denny, Josh, Bailey-Davis, Lisa, Williams, Marc S., Marsolo, Keith, Solti, Imre, Holm, Ingrid A., Harley, John, Kohane, Isaac S., Savova, Guergana, Crimmins, Nancy
Formato: Artigo
Idioma:Inglês
Publicado em: Schattauer 2016
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5052543/
https://ncbi.nlm.nih.gov/pubmed/27452794
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4338/ACI-2016-01-RA-0015
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