{"id":"https://openalex.org/W4387251310","doi":"https://doi.org/10.1109/ccis59572.2023.10263038","title":"Multi-parameter Blood Glucose Prediction Algorithm for Type 1 Diabetes Based on Hybrid Neural Network Deep Learning Technique","display_name":"Multi-parameter Blood Glucose Prediction Algorithm for Type 1 Diabetes Based on Hybrid Neural Network Deep Learning Technique","publication_year":2023,"publication_date":"2023-08-12","ids":{"openalex":"https://openalex.org/W4387251310","doi":"https://doi.org/10.1109/ccis59572.2023.10263038"},"language":"en","primary_location":{"id":"doi:10.1109/ccis59572.2023.10263038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis59572.2023.10263038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102738272","display_name":"Zixuan Chen","orcid":"https://orcid.org/0000-0003-0602-7653"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Chen","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059828234","display_name":"Zedong Nie","orcid":"https://orcid.org/0000-0002-6079-9964"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zedong Nie","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759430","display_name":"Jingzhen Li","orcid":"https://orcid.org/0000-0003-2807-424X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhen Li","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101251239","display_name":"Youwen Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youwen Wu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034528379","display_name":"Hongjun Zhou","orcid":"https://orcid.org/0000-0001-8364-7739"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Zhou","raw_affiliation_strings":["Wuhan University of Science and Technology,Wuhan,China","Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8551,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93333333,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11623","display_name":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","score":0.9477999806404114,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.74327152967453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6906605362892151},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.588071346282959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5610870122909546},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.42731526494026184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41966792941093445},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.4193044900894165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38661372661590576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3226962685585022}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.74327152967453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906605362892151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.588071346282959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5610870122909546},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.42731526494026184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41966792941093445},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.4193044900894165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38661372661590576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3226962685585022},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis59572.2023.10263038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis59572.2023.10263038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338154","display_name":"Science and Technology Service Network Plan","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2031534975","https://openalex.org/W2129995532","https://openalex.org/W2474805097","https://openalex.org/W2523526638","https://openalex.org/W2765364137","https://openalex.org/W2790915589","https://openalex.org/W2798933806","https://openalex.org/W2993187153","https://openalex.org/W3038004684","https://openalex.org/W3090725796","https://openalex.org/W3180545632","https://openalex.org/W3211723163","https://openalex.org/W4200026682","https://openalex.org/W4221088503","https://openalex.org/W4224810561","https://openalex.org/W4251760621","https://openalex.org/W4360602927"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Accurately":[0],"predicting":[1],"blood":[2,23,45,103],"glucose(BG)":[3],"levels":[4],"is":[5,66],"crucial":[6],"for":[7,22,60,106,125],"effective":[8],"management":[9],"of":[10,120,137],"type":[11],"1":[12],"diabetes.":[13],"This":[14],"paper":[15],"proposes":[16],"a":[17],"hybrid":[18],"neural":[19,30],"network":[20,31,79],"model":[21],"glucose":[24,46,104],"prediction":[25,144],"algorithm,":[26],"which":[27],"combines":[28],"convolutional":[29],"(CNN)":[32],"and":[33,50,54,57,83,123,129,140,146],"Transformer.":[34],"The":[35,91],"algorithm":[36,115],"takes":[37],"into":[38],"account":[39],"various":[40],"parameters,":[41],"including":[42],"patients\u2019":[43],"historical":[44],"data,":[47,75],"carbohydrate":[48],"intake,":[49],"insulin":[51],"injection":[52],"amount,":[53],"integrates":[55],"CNN":[56,65],"Transformer":[58,78],"networks":[59],"comprehensive":[61],"analysis.":[62],"Specifically,":[63],"the":[64,73,77,87,99,114,126],"employed":[67],"to":[68],"extract":[69],"local":[70],"features":[71],"from":[72],"input":[74],"while":[76],"captures":[80],"global":[81],"dependencies":[82],"contextual":[84],"information":[85],"in":[86],"time":[88],"series":[89],"data.":[90],"experiments":[92],"were":[93],"conducted":[94],"using":[95],"data":[96,105],"generated":[97],"by":[98],"UVA/Padova":[100],"simulator,":[101],"simulating":[102],"10":[107],"adult":[108],"individuals.":[109],"Evaluation":[110],"results":[111],"demonstrate":[112],"that":[113],"achieves":[116],"average":[117,134],"MAPE":[118],"values":[119,136],"2.41%,":[121],"2.89%,":[122],"3.19%":[124],"15minute,":[127],"30-minute,":[128],"60-minute":[130],"predictions,":[131],"respectively,":[132],"with":[133],"RMSE":[135],"6.75,":[138],"10.51,":[139],"15.98,":[141],"indicating":[142],"low":[143],"errors":[145],"good":[147],"accuracy.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
