Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms-Reference-Cited by-同舟云学术

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Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms

Published:2023-07-21 Issue: Volume: Page:
ISSN:1432-0711
Container-title:Archives of Gynecology and Obstetrics
language:en
Short-container-title:Arch Gynecol Obstet

Author:

Li Yi-xin,Liu Yi-chen,Wang Mei,Huang Yu-li^ORCID

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of various data imputation techniques for diabetes classification on PIMA dataset;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

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