Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms
Author:
Funder
Chongming district Innovation and Entrepreneurship Project.
Publisher
Springer Science and Business Media LLC
Subject
Obstetrics and Gynecology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00404-023-07131-4.pdf
Reference25 articles.
1. Chiefari E et al (2017) Gestational diabetes mellitus: an updated overview. J Endocrinol Invest 40(9):899–909
2. Juan J, Yang H (2020) Prevalence, prevention, and lifestyle intervention of gestational diabetes mellitus in China. Int J Environ Res Public Health 17(24):9517
3. Hod M et al (2015) The international federation of gynecology and obstetrics (FIGO) initiative on gestational diabetes mellitus: a pragmatic guide for diagnosis, management, and care. Int J Gynaecol Obstet 131(Suppl 3):S173-211
4. Johns EC et al (2018) Gestational diabetes mellitus: mechanisms, treatment, and complications. Trends Endocrinol Metab 29(11):743–754
5. Wang C et al (2017) A randomized clinical trial of exercise during pregnancy to prevent gestational diabetes mellitus and improve pregnancy outcome in overweight and obese pregnant women. Am J Obstet Gynecol 216(4):340–351
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