Data on Machine Learning Detailed by Researchers at University of Campania Luigi Vanvitelli (Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain).

Researchers at the University of Campania Luigi Vanvitelli in Italy have conducted a study on machine learning algorithms in the context of diabetes management. The aim of the study was to understand the characteristics and practical implications of these algorithms, specifically in predicting blood glucose levels. The researchers explored and compared different machine learning techniques, with a focus on deep learning techniques such as Long Short-Term Memory Networks. The study investigated the trade-off between accuracy, resource utilization, time consumption, and computational power requirements to identify the optimal balance. The research concluded that the algorithms exhibited distinct behaviors and highlighted their differences, even when their analytical underpinnings appeared similar. [Extracted from the article]