Prediction of gestational diabetes based on nationwide electronic health records
Published 2020 View Full Article
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Title
Prediction of gestational diabetes based on nationwide electronic health records
Authors
Keywords
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Journal
NATURE MEDICINE
Volume 26, Issue 1, Pages 71-76
Publisher
Springer Science and Business Media LLC
Online
2020-01-14
DOI
10.1038/s41591-019-0724-8
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- (2018) Anand Avati et al. BMC Medical Informatics and Decision Making
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- (2017) Hang Qiu et al. Scientific Reports
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- (2016) Pei Zhao et al. DIABETOLOGIA
- External validation of prognostic models to predict risk of gestational diabetes mellitus in one Dutch cohort: prospective multicentre cohort study
- (2016) Marije Lamain-de Ruiter et al. BMJ-British Medical Journal
- External validation of prognostic models to predict risk of gestational diabetes mellitus in one Dutch cohort: prospective multicentre cohort study
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- Screening Tests for Gestational Diabetes: A Systematic Review for the U.S. Preventive Services Task Force
- (2013) Lois Donovan et al. ANNALS OF INTERNAL MEDICINE
- Glucose challenge test for detecting gestational diabetes mellitus: a systematic review
- (2012) M van Leeuwen et al. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
- Screening and Diagnosis of Gestational Diabetes Mellitus: Critical appraisal of the new International Association of Diabetes in Pregnancy Study Group recommendations on a national level
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- Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study: Associations of maternal A1C and glucose with pregnancy outcomes
- (2012) L. P. Lowe et al. DIABETES CARE
- Effect of dietary and lifestyle factors on the risk of gestational diabetes: review of epidemiologic evidence
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- (2011) Wan T. TEH et al. AUSTRALIAN & NEW ZEALAND JOURNAL OF OBSTETRICS & GYNAECOLOGY
- Assessing the Performance of Prediction Models
- (2009) Ewout W. Steyerberg et al. EPIDEMIOLOGY
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