Bridging Horizons in Diabetes Prediction: A Comparative Exploration of Machine Learning and Deep Learning Approaches in Pima Indian Women-Reference-Cited by-同舟云学术

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Bridging Horizons in Diabetes Prediction: A Comparative Exploration of Machine Learning and Deep Learning Approaches in Pima Indian Women

Published:2024-05-02 Issue: Volume:101 Page:386-391
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Reddy L. Chandra Sekhar¹,Gottipalli Monikadevi²,Sravanthi P.³,Rajanikanth J.⁴,Yalamarthi Ganesh⁵,Gurrapu Neelima⁶

Affiliation:

1. CMR College of Engineering & Technology,Department of CSE (Data science),Hyderabad,India

2. Sir C R Reddy College of Engineering,Department of CSE,Eluru,India

3. CMR College of Engineering & Technology,Department of CSE,Hyderabad,India

4. S R K R Engineering College,Department of CSE,Bhimavaram,India

5. SIR C R Ramalinga Reddy Polytechnic College,Department of AI&ML,Eluru,India

6. SR University,Department of computer science and Artificial intelligence,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10550977.pdf?arnumber=10550977

Reference22 articles.

1. An Optimized Bagging Ensemble Learning of Machine Learning Algorithms for Early Detection of Diabetes

2. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

3. Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study

4. Diabetes Prediction using Machine Learning Algorithms

5. Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers

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