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Prediction of gestational diabetes based on nationwide electronic health records

Prediction of gestational diabetes based on nationwide electronic health records

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2343065957

Prediction of gestational diabetes based on nationwide electronic health records

About this item

Full title

Prediction of gestational diabetes based on nationwide electronic health records

Publisher

New York: Nature Publishing Group US

Journal title

Nature medicine, 2020-01, Vol.26 (1), p.71-76

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Gestational diabetes mellitus (GDM) poses increased risk of short- and long-term complications for mother and offspring
1

4
. GDM is typically diagnosed at 24–28 weeks of gestation, but earlier detection is desirable as this may prevent or considerably reduce the risk of adverse pregnancy outcomes
5
,
6
. Here we used a ma...

Alternative Titles

Full title

Prediction of gestational diabetes based on nationwide electronic health records

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2343065957

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2343065957

Other Identifiers

ISSN

1078-8956

E-ISSN

1546-170X

DOI

10.1038/s41591-019-0724-8

How to access this item