This paper focuses on exploring and comparing different machine learning algorithms in the context of diabetes management.
This paper focuses on exploring and comparing different machine learning algorithms in the context of diabetes management. The aim is to understand their ...
Nov 1, 2023 · This paper focuses on exploring and comparing different machine learning algorithms in the context of diabetes management.
This study aims to evaluate the quality and performance of ML models developed to predict microvascular and macrovascular diabetes complications in an adult ...
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Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain. https://doi.org/10.1080/09540091.2023.2279900 ·.
Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain ; Fan Y., Zhang W., Bai J., Lei X., Li K. · Q1. IEEE.
Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain. Authors: Martino,Beniamino Di · Esposito,Antonio
Apr 4, 2024 · The gold standard measure of accuracy, EGA, is a graphical method for evaluating the clinical significance of blood glucose predictions [45]. It ...
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This study aims to compare and comprehensively analyze the performance of various deep learning models across diverse datasets to assess their applicability ...
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This study introduces DeepNetX2, a proposed custom deep neural network designed to overcome these challenges by integrating Explainable Artificial Intelligence ...