Prediction of Gestational Diabetes Mellitus Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Prediction of Gestational Diabetes Mellitus Using Artificial Neural Network

Published:2022 Issue: Volume: Page:329-340
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Rahman Aqilah Saibah Abdul,Nordin Sharifalillah

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8515-6_26

Reference20 articles.

1. Lefkovits YR, Stewart ZA, Murphy HR (2019) Gestational diabetes. Med (United Kingdom) 47(2):114–118. https://doi.org/10.1016/j.mpmed.2018.11.006

2. Iftikhar PM, Kuijpers MV, Khayyat A, Iftikhar A, DeGouvia De Sa M (2020) Artificial intelligence: a new paradigm in obstetrics and gynecology research and clinical practice. Cureus. https://doi.org/10.7759/cureus.7124

3. Rosli SM, Rosli MM, Nordin R (2019) A mapping study on blood glucose recommender system for patients with gestational diabetes mellitus. Bull Electr Eng Inf 8(4):1489–1495. https://doi.org/10.11591/eei.v8i4.1633

4. Qiu H et al (2017) Electronic health record driven prediction for gestational diabetes mellitus in early pregnancy. Sci Rep 7(1):1–13. https://doi.org/10.1038/s41598-017-16665-y

5. Reddi Rani P, Begum J (2016) Screening and diagnosis of gestational diabetes mellitus, where do we stand. J Clin Diagnostic Res 10(4):QE01–QE04. https://doi.org/10.7860/JCDR/2016/17588.7689

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1. Predicting early-stage diabetes risk: A machine learning approach;i-manager's Journal on Data Science & Big Data Analytics;2024

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