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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	V. K. Daliya, T. K. Ramesh
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2025-01-01
Serie:	IEEE Access
Ämnen:	Diabetic prediction ensemble learning KNN LightGBM Machine learning voting classifier
Länkar:	https://ieeexplore.ieee.org/document/10836739/
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!