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Validation of Pediatric Diabetes Case Identification Approaches for Diagnosed Cases by Using Information in the Electronic Health Records of a Large Integrated Managed Health Care Organization

Jean-M LAWRENCE ; Mary-Helen BLACK ; Department of Research and Evaluation, Kaiser Permanente Southern California (Pasadena CA, Etats-Unis) ; Jian-L ZHANG ; Department of Nutrition, University of North Carolina (Chapel Hill NC, Etats-Unis) ; Jeff-M SLEZAK ; Department of Epidemiology, University of Colorado Denver (Aurora CO, Etats-Unis) ; Harpreet-S TAKHAR ; Corinna KOEBNICK ; Elizabeth-J MAYER-DAVIS ; Victor-W ZHONG ; Dana DABELEA ; Richard-F HAMMAN ; Kristi REYNOLDS |

Dans American journal of epidemiology (vol. 179, n° 1, janvier 2014)

[BDSP. Notice produite par INIST-CNRS R0xCAD9J. Diffusion soumise à autorisation]. We explored the utility of different algorithms for diabetes case identification by using electronic health records. Inpatient and outpatient diagnosis codes, as [...]

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