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Cleaning of anthropometric data from PCORnet electronic health records using automated algorithms.
Lin, Pi-I D; Rifas-Shiman, Sheryl L; Aris, Izzuddin M; Daley, Matthew F; Janicke, David M; Heerman, William J; Chudnov, Daniel L; Freedman, David S; Block, Jason P.
Afiliação
  • Lin PD; Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Rifas-Shiman SL; Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Aris IM; Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Daley MF; Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA.
  • Janicke DM; Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA.
  • Heerman WJ; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Chudnov DL; MITRE Corporation, McLean, Virginia, USA.
  • Freedman DS; Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Block JP; Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
JAMIA Open ; 5(4): ooac089, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36339053
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article