A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective

A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective

The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light Gradient-Boosting Machine (Light GBM) and K-Nearest Neighbour (KNN) based ensemble algorithm for predicting diabe...

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Bibliographic Details
Main Authors: V. K. Daliya, T. K. Ramesh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Diabetic prediction
ensemble learning
KNN
LightGBM
Machine learning
voting classifier
Online Access:https://ieeexplore.ieee.org/document/10836739/
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https://ieeexplore.ieee.org/document/10836739/

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