Identifying diabetes cases from administrative data: a population-based validation study.

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Identifying diabetes cases from administrative data: a population-based validation study.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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Identifying diabetes cases from administrative data: a population-based validation study.

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Identifying diabetes cases from administrative data: a population-based validation study.

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Identifying diabetes cases from administrative data: a population-based validation study.

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Identifying diabetes cases from administrative data: a population-based validation study.

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Identifying diabetes cases from administrative data: a population-based validation study.

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Identifying diabetes cases from administrative data: a population-based validation study.

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P1476

Identifying diabetes cases from administrative data: a population-based validation study.

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P2093

Baiju R Shah

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Gillian L Booth

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Jeremiah Hwee

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Karen Tu

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Lauren Webster

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Lorraine L Lipscombe

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P2860

Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm.

Are family physicians comprehensively using electronic medical records such that the data can be used for secondary purposes? A Canadian perspective.

Using linked electronic data to validate algorithms for health outcomes in administrative databases.

Validation of a health administrative data algorithm for assessing the epidemiology of diabetes in Canadian children.

Mini-Sentinel's systematic reviews of validated methods for identifying health outcomes using administrative data: summary of findings and suggestions for future research.

Preeclampsia as a risk factor for diabetes: a population-based cohort study

Evaluation of Electronic Medical Record Administrative data Linked Database (EMRALD).

Unwalkable neighborhoods, poverty, and the risk of diabetes among recent immigrants to Canada compared with long-term residents.

Risk of development of diabetes mellitus after diagnosis of gestational diabetes.

Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants.

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10.1186/S12913-018-3148-0

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2018-05-02T00:00:00Z

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