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Comment

. 2020 Mar;16(3):130.

doi: 10.1038/s41574-020-0326-z.

Electronic health records to predict GDM

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PMID: 31996805
DOI: 10.1038/s41574-020-0326-z

Comment

Electronic health records to predict GDM

Anna Kriebs. Nat Rev Endocrinol. 2020 Mar.

. 2020 Mar;16(3):130.

doi: 10.1038/s41574-020-0326-z.

Author

Affiliation

¹ Associate Editor, Nature Communications, . nrendo@nature.com.

PMID: 31996805
DOI: 10.1038/s41574-020-0326-z

No abstract available

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Comment on

Prediction of gestational diabetes based on nationwide electronic health records.
Artzi NS, Shilo S, Hadar E, Rossman H, Barbash-Hazan S, Ben-Haroush A, Balicer RD, Feldman B, Wiznitzer A, Segal E. Artzi NS, et al. Nat Med. 2020 Jan;26(1):71-76. doi: 10.1038/s41591-019-0724-8. Epub 2020 Jan 13. Nat Med. 2020. PMID: 31932807

References

Original article

1. Artzi, N. S. et al. Prediction of gestational diabetes based on nationwide electronic health records. Nature Medicine 26, 71–76 (2020) - DOI

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