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Identification of temporal condition patterns associated with pediatric obesity incidence using sequence mining and big data
BACKGROUND: Electronic health records (EHRs) are potentially important components in addressing pediatric obesity in clinical settings and at the population level. This work aims to identify temporal condition patterns surrounding obesity incidence in a large pediatric population that may inform cli...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381422/ https://www.ncbi.nlm.nih.gov/pubmed/32494036 http://dx.doi.org/10.1038/s41366-020-0614-7 |