Validation of classification algorithms for childhood diabetes identified from administrative data.
about
Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study.An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth StudyAutomated detection and classification of type 1 versus type 2 diabetes using electronic health record data.Atypical antipsychotic initiation and the risk of type II diabetes in children and adolescents.Outpatient Care Preceding Hospitalization for Diabetic KetoacidosisPreliminary analysis of immune activation in early onset type 2 diabetes.Incidence and Risk Factors for Developing Diabetic Retinopathy among Youths with Type 1 or Type 2 Diabetes throughout the United States.Type 1 diabetes incidence and prevalence trends in a cohort of Canadian children and youth.Ophthalmic Screening Patterns Among Youths With Diabetes Enrolled in a Large US Managed Care Network.Care delivery in youth with type 2 diabetes - are we meeting clinical practice guidelines?Bacillus Calmette-Guérin (BCG) Vaccination in Infancy and Risk of Childhood Diabetes.Cardiovascular complications of type 2 diabetes in youth.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.Fluctuations in the incidence of type 1 diabetes in the United States from 2001 to 2015: a longitudinal study.Incidence and prevalence trends of youth-onset type 2 diabetes in a cohort of Canadian youth: 2002-2013.
P2860
Q30830077-FC35BAE6-DA53-4830-B290-0E7D6E4C9ACEQ31083604-BA5DB659-7BFA-4D30-B9EA-4820E96F52E0Q34495186-F7D3259F-FB87-4369-9E7E-D982655039B1Q36270899-25E3F444-3A9D-4818-A4E2-1C5BC8BBD45FQ36972196-6CAE84D7-CBB5-4C71-95C2-A37434A94835Q37120686-D666C6FD-8FAF-4BE3-8677-9A664F0CEA18Q38404089-55A854E6-A53F-4E4D-8F44-CA9346C86E84Q38600571-AEFDBDDC-EBE9-498F-AF41-C0570B0E24F0Q38882724-E5C9B332-B39E-44FC-802E-3A42808374AAQ39182185-B79FEF3F-8158-45A9-84E6-32E1F87D34BBQ40301485-B24EFFD3-FA9A-4261-A953-FA60C92BA49EQ41514778-45829712-7079-4FEA-AEC0-360AAE306E1BQ43775814-92CCD903-890A-49B5-9021-3552295FDAA8Q47104815-77BB5D13-417C-457C-B91A-6305D8BC87D9Q47245144-49B70509-74DE-46B2-8E39-DB287134C631
P2860
Validation of classification algorithms for childhood diabetes identified from administrative data.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Validation of classification a ...... fied from administrative data.
@ast
Validation of classification a ...... fied from administrative data.
@en
type
label
Validation of classification a ...... fied from administrative data.
@ast
Validation of classification a ...... fied from administrative data.
@en
prefLabel
Validation of classification a ...... fied from administrative data.
@ast
Validation of classification a ...... fied from administrative data.
@en
P2093
P2860
P50
P1433
P1476
Validation of classification a ...... ified from administrative data
@en
P2093
Hans Krueger
Jean-Paul Collet
Kim Reimer
Kimberly Nuernberger
Patrick McCrea
Saskia E Vanderloo
P2860
P304
P356
10.1111/J.1399-5448.2011.00795.X
P577
2011-07-19T00:00:00Z