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...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Najib Ur Rehman (22258519) (author)
مؤلفون آخرون:	Ivan Contreras (22258522) (author), Aleix Beneyto (22258525) (author), Josep Vehi (22258528) (author)
منشور في:	2025
الموضوعات:	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
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Summary of Studies on Postprandial Hypoglycemia and Hyperglycemia Prediction.

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