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

Crossref DOI link: https://doi.org/10.1186/s12913-018-3148-0

Published Online: 2018-05-02

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lipscombe, Lorraine L.

Hwee, Jeremiah

Webster, Lauren

Shah, Baiju R.

Booth, Gillian L.

Tu, Karen
Funding

Funding for this research was provided by:

Ontario Ministy of Health and Long-Term Care

Banting and Best Diabetes Centre, University of Toronto
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Text and Data Mining valid from 2018-05-02
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Article History

Received: 4 January 2018

Accepted: 25 April 2018

First Online: 2 May 2018

Ethics approval and consent to participate

: The study protocol was approved by the Research Ethics Board at Sunnybrook Health Sciences Center.

: The authors declare that they have no competing interests.

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