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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Dettagli Bibliografici
Pubblicato in:Appl Clin Inform
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Schattauer 2016
Soggetti:
Research Article
Accesso online: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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