Optimized Model for Predicting Gestational Diabetes using ML Techniques-Reference-Cited by-同舟云学术

Optimized Model for Predicting Gestational Diabetes using ML Techniques

Published:2021-12-02 Issue: Volume: Page:
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Container-title:2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

Shankar R. Shiva,Raju V. V.Sivarama,Murthy KVSSR,Ravibabu D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9675837/9675843/09676075.pdf?arnumber=9676075

Reference36 articles.

1. Glucose tolerance of offspring of mother with gestational diabetes mellitus in a low-risk population

2. Extensive analysis of machine learning algorithms to early detection of diabetic retinopathy

3. Evolving a neural network to predict diabetic neuropathy;reddy;EAI Endorsed Transactions on Scalable Information Systems,2020

4. Discovering Optimal Algorithm to Predict Diabetic Retinopathy using Novel Assessment Methods;reddy;EAI Endorsed Transactions on Scalable Information Systems,2021

5. Prospective Observational Study to Establish Predictors of Glyburide Success in Women with Gestational Diabetes Mellitus

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