Analyzing Machine Learning Approaches for Diabetes Risk Prediction: Comparative Performance Assessment Using BRFSS Data
Author:
Affiliation:
1. Bina Nusantara University,Computer Science Department School of Computer Science,Jakarta,Indonesia,11480
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10636850/10636819/10636871.pdf?arnumber=10636871
Reference27 articles.
1. Retracted: Analysis of Diabetes Clinical Data Based on Recurrent Neural Networks;Lin;Comput Intell Neurosci,2023
2. Diabetes and global ageing among 65–99-year-old adults: Findings from the International Diabetes Federation Diabetes Atlas, 9th edition
3. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025
4. Predictive modelling and analytics for diabetes using a machine learning approach
5. Diabetes Prediction using Data Mining Techniques: A state-of-the-art Survey;Dewan
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