Connection Science
Volume 35, 2023 - Issue 1
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Research Article
Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain
Beniamino Di Martinoa University of Campania Luigi Vanvitelli, Department of Engineering, Aversa, Italy;b Department of Computer Science and Information Engineering, ASIA University, Taichung City, Taiwan;c Department of Computer Science, University of Vienna, Vienna, AustriaView further author information
, Antonio Espositoa University of Campania Luigi Vanvitelli, Department of Engineering, Aversa, ItalyCorrespondence[email protected]
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, View further author information
Gennaro Junior Pezzulloa University of Campania Luigi Vanvitelli, Department of Engineering, Aversa, ItalyView further author information
& Tien-Hsiung Wengd Department of Computer Science and Information Engineering, Providence University, Taichung, TaiwanView further author information
Article: 2279900
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Received 19 Jul 2023, Accepted 01 Nov 2023, Published online: 09 Nov 2023
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