Use of Machine Learning to Predict the Glycemic Status of Patients with Diabetes

Use of Machine Learning to Predict the Glycemic Status of Patients with Diabetes

In this work, a machine learning methodology is used to predict the progress of the glycemic values of six patients with diabetes. Eight different algorithms are compared i.e., ANN, PNN, Polynomial Regression, Gradient Boosted Trees Regression, Random Forest Regression, Simple Regression Tree, Tree...

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Bibliographic Details
Main Authors: Alessandro Massaro, Nicola Magaletti, Gabriele Cosoli, Angelo Leogrande, Francesco Cannone
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Medical Sciences Forum
Subjects:
machine learning
predictions
telemedicine
ANN-artificial neural network
Online Access:https://www.mdpi.com/2673-9992/10/1/11

Internet

https://www.mdpi.com/2673-9992/10/1/11

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