{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T16:00:22Z","timestamp":1777392022238,"version":"3.51.4"},"reference-count":20,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009448","name":"Universit\u00e1 degli Studi della Campania Luigi Vanvitelli","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009448","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Connection Science"],"published-print":{"date-parts":[[2023,12,31]]},"DOI":"10.1080\/09540091.2023.2279900","type":"journal-article","created":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T18:02:54Z","timestamp":1699552974000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":8,"title":["Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain"],"prefix":"10.1080","volume":"35","author":[{"given":"Beniamino","family":"Di Martino","sequence":"first","affiliation":[{"name":"University of Campania Luigi Vanvitelli, Department of Engineering, Aversa, Italy"},{"name":"Department of Computer Science and Information Engineering, ASIA University, Taichung City, Taiwan"},{"name":"Department of Computer Science, University of Vienna, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Esposito","sequence":"additional","affiliation":[{"name":"University of Campania Luigi Vanvitelli, Department of Engineering, Aversa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gennaro Junior","family":"Pezzullo","sequence":"additional","affiliation":[{"name":"University of Campania Luigi Vanvitelli, Department of Engineering, Aversa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tien-Hsiung","family":"Weng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2023,11,9]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"crossref","unstructured":"Aliberti A. Bagatin A. Acquaviva A. Macii E. & Patti E. (2020). Data driven patient-specialized neural networks for blood glucose prediction. In 2020 IEEE international conference on multimedia & expo workshops (ICMEW) (pp.\u00a01\u20136).","DOI":"10.1109\/ICMEW46912.2020.9105950"},{"key":"e_1_3_3_3_1","doi-asserted-by":"crossref","unstructured":"Aral A. Esposito A. Nagiyev A. Benkner S. Di Martino B. & Bochicchio M. A. (2023). Experiences in architectural design and deployment of ehealth and environmental applications for cloud-edge continuum. In International conference on advanced information networking and applications (pp.\u00a0136\u2013145). Springer.","DOI":"10.1007\/978-3-031-28694-0_13"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-022-07503-z"},{"key":"e_1_3_3_5_1","unstructured":"Diabetes M. (2022). Carelink system user guide . Retrieved September 10 2023. https:\/\/www.medtronicdiabetes.com\/sites\/default\/files\/library\/download-library\/workbooks\/CareLink-System-User-Guide.pdf"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.01.036"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.ea.2020-0684.202302"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_3_9_1","doi-asserted-by":"crossref","unstructured":"Iacono F. Magni L. & Toffanin C. (2022). Personalized LSTM models for glucose prediction in type 1 diabetes subjects. In 2022 30th Mediterranean conference on control and automation (MED) (pp.\u00a0324\u2013329). IEEE.","DOI":"10.1109\/MED54222.2022.9837153"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.12.037"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/en13184964"},{"issue":"64","key":"e_1_3_3_12_1","first-page":"2","article-title":"Recurrent neural networks","volume":"5","author":"Medsker L. R.","year":"2001","unstructured":"Medsker, L. R., & Jain, L. (2001). Recurrent neural networks. Design and Applications, 5(64-67), 2.","journal-title":"Design and Applications"},{"key":"e_1_3_3_13_1","unstructured":"Meijner C. & Persson S. (2017). Blood glucose prediction for type 1 diabetes using machine learning long short-term memory based models for blood glucose prediction."},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21020546"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117203"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1177\/193229680800200507"},{"key":"e_1_3_3_17_1","doi-asserted-by":"crossref","unstructured":"Pezzullo G. J. Esposito A. & di Martino B. (2023). Federated learning of predictive models from real data on diabetic patients. In International conference on advanced information networking and applications (pp.\u00a080\u201389). Springer.","DOI":"10.1007\/978-3-031-28694-0_8"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.numecd.2022.03.031"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2019.103973"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.10.005"},{"key":"e_1_3_3_21_1","doi-asserted-by":"crossref","unstructured":"Zohora M. F. Tania M. H. Kaiser M. S. & Mahmud M. (2020). Forecasting the risk of type ii diabetes using reinforcement learning. In 2020 Joint 9th international conference on informatics electronics & vision (ICIEV) and 2020 4th international conference on imaging vision & pattern recognition (icIVPR) (pp.\u00a01\u20136). IEEE.","DOI":"10.1109\/ICIEVicIVPR48672.2020.9306653"}],"container-title":["Connection Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/09540091.2023.2279900","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T07:51:06Z","timestamp":1703749866000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/09540091.2023.2279900"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,9]]},"references-count":20,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,12,31]]}},"alternative-id":["10.1080\/09540091.2023.2279900"],"URL":"https:\/\/doi.org\/10.1080\/09540091.2023.2279900","relation":{},"ISSN":["0954-0091","1360-0494"],"issn-type":[{"value":"0954-0091","type":"print"},{"value":"1360-0494","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,9]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ccos20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ccos20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-07-19","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-11-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-11-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2279900"}}