GKN-Stack: An Ensemble Deep Learning Framework for Blood Glucose Forecasting Based on Medical Examination Data

GKN-Stack: An Ensemble Deep Learning Framework for Blood Glucose Forecasting Based on Medical Examination Data

Objective: Diabetes patients are closely related to blood glucose levels. Predicting blood glucose levels through routine blood test data can provide auxiliary diagnosis for diabetes risk prediction in the medical field. However, physical examination datasets are often accompanied by problems such a...

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Bibliographic Details
Main Authors: Lueshi Li, Huafeng Zhang, Ruizhuo Song
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Blood glucose estimate
feature engineering
machine learning
stacking
data augmentation
Online Access:https://ieeexplore.ieee.org/document/10670390/
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https://ieeexplore.ieee.org/document/10670390/

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