Summary of Studies on Postprandial Hypoglycemia and Hyperglycemia Prediction.

<p>(ANN: Artificial Neural Network, BG: Blood Glucose, DNN: Deep Neural Network, KNN: K-Nearest Neighbors, LightGBM: Light Gradient Boosting Machine, LR: Logistic Regression, LSTM: Long Short-Term Memory, NB: Naive Bayes, RF: Random Forest, SVC: Support Vector Classifier, SVM: Support Vector M...

Full description

Saved in:

Bibliographic Details
Main Author:	Najib Ur Rehman (22258519) (author)
Other Authors:	Ivan Contreras (22258522) (author), Aleix Beneyto (22258525) (author), Josep Vehi (22258528) (author)
Published:	2025
Subjects:	Biochemistry Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified interaction analysis revealed insulin dose optimization insulin bolus combinations insulin adjustment module addressed using global achieving high performance postprandial glycemic excursions personalized ensemble models postprandial glycemic events glycemic profiles interpretable models adverse events support safer study presents simulated datasets results underscore respectively ). refined pre predicted risk organizing maps model interpretability means clustering linear effects explainable dual explainable cluster carbohydrate intake based learning
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Summary of Studies on Postprandial Hypoglycemia and Hyperglycemia Prediction.

Similar Items