{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T09:49:35Z","timestamp":1743846575293,"version":"3.37.3"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T00:00:00Z","timestamp":1691798400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T00:00:00Z","timestamp":1691798400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013315","name":"Science and Technology Service Network Plan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013315","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,12]]},"DOI":"10.1109\/ccis59572.2023.10263038","type":"proceedings-article","created":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T17:43:21Z","timestamp":1696268601000},"page":"474-479","source":"Crossref","is-referenced-by-count":4,"title":["Multi-parameter Blood Glucose Prediction Algorithm for Type 1 Diabetes Based on Hybrid Neural Network Deep Learning Technique"],"prefix":"10.1109","author":[{"given":"Zixuan","family":"Chen","sequence":"first","affiliation":[{"name":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zedong","family":"Nie","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingzhen","family":"Li","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youwen","family":"Wu","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Wuhan University of Science and Technology,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2021.109119"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mpmed.2010.08.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/cnm.2833"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.2482"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/iccps.2018.00031"},{"key":"ref6","first-page":"64","article-title":"A Deep Learning Algorithm for Personalized Blood Glucose Prediction[C]","author":"Zhu","year":"2018","journal-title":"KHD@ IJCAI"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58802-1_28"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109804"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1177\/19322968221092785"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/1932296818757747"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/1932296816654161"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2009.0076"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-818438-7.00002-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/1932296813514502"},{"key":"ref15","first-page":"37","article-title":"The impact of preprocessing on support vector regression and neural networks in time series prediction[C]","author":"Crone","year":"2006","journal-title":"DMIN"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-0474-7_59"},{"issue":"1","key":"ref17","first-page":"1","article-title":"A transformer selfattention model for time series forecasting[J]","volume":"9","author":"Mohammadi Farsani","year":"2020","journal-title":"Journal of Electrical and Computer Engineering Innovations (JECEI)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CDMA54072.2022.00029"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/19322968221092785"},{"key":"ref20","first-page":"37","article-title":"The impact of preprocessing on support vector regression and neural networks in time series prediction[C]","author":"Crone","year":"2006","journal-title":"DMIN"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-021-02437-4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2023.105498"}],"event":{"name":"2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)","start":{"date-parts":[[2023,8,12]]},"location":"Dali, China","end":{"date-parts":[[2023,8,13]]}},"container-title":["2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10262403\/10262831\/10263038.pdf?arnumber=10263038","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T01:35:02Z","timestamp":1705023302000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10263038\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,12]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ccis59572.2023.10263038","relation":{},"subject":[],"published":{"date-parts":[[2023,8,12]]}}}