Gestational Diabetes Prediction in Pregnancy: A Machine Learning and Data Preprocessing Approach-Reference-Cited by-同舟云学术

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Gestational Diabetes Prediction in Pregnancy: A Machine Learning and Data Preprocessing Approach

Published:2023-12-13 Issue: Volume:315 Page:1-6
ISSN:
Container-title:2023 26th International Conference on Computer and Information Technology (ICCIT)
language:
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Author:

Riyed Tanver Hasan¹,Nabi Tasnia¹,Dutta Aishwariya¹,Kamrul Hasan Md.²,Wahid Anik Ferdous¹,Ornob Akid¹

Affiliation:

1. Military Institute of Science and Technology (MIST),Department of Biomedical Engineering,Dhaka,Bangladesh,1216

2. Khulna University of Engineering & Technology (KUET),Department of Electrical and Electronic Engineering (EEE),Khulna,Bangladesh,9203

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441112.pdf?arnumber=10441112

Reference27 articles.

1. IDF Diabetes Atlas: Estimation of Global and Regional Gestational Diabetes Mellitus Prevalence for 2021 by International Association of Diabetes in Pregnancy Study Group’s Criteria

2. Gestational diabetes mellitus;Gable;N. Eng. J. Med,1986

3. Projections of the prevalence of hyperglycaemia in pregnancy in 2019 and beyond: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

4. Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)

5. An Intelligent Gestational Diabetes Diagnosis Model Using Deep Stacked Autoencoder

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