{"id":"https://openalex.org/W2756068037","doi":"https://doi.org/10.1109/embc.2017.8037462","title":"A deep learning approach to adherence detection for type 2 diabetics","display_name":"A deep learning approach to adherence detection for type 2 diabetics","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2756068037","doi":"https://doi.org/10.1109/embc.2017.8037462","mag":"2756068037","pmid":"https://pubmed.ncbi.nlm.nih.gov/29060503"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8037462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101532387","display_name":"Ali Mohebbi","orcid":"https://orcid.org/0000-0001-7705-9332"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ali Mohebbi","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032414211","display_name":"Tinna Bj\u00f6rk Arad\u00f3ttir","orcid":"https://orcid.org/0000-0002-4675-1198"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Tinna B. Aradottir","raw_affiliation_strings":["A/S, Bagsv\u00e6rd, Denmark","Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A/S, Bagsv\u00e6rd, Denmark","institution_ids":[]},{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044404289","display_name":"Alexander Rosenberg Johansen","orcid":"https://orcid.org/0000-0002-4993-7916"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Alexander R. Johansen","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015282653","display_name":"Henrik Bengtsson","orcid":"https://orcid.org/0000-0002-7579-5165"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Henrik Bengtsson","raw_affiliation_strings":["A/S, Bagsv\u00e6rd, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A/S, Bagsv\u00e6rd, Denmark","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031911781","display_name":"M. Fraccaro","orcid":null},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Marco Fraccaro","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059840085","display_name":"Morten M\u00f8rup","orcid":"https://orcid.org/0000-0003-4985-4368"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Morten Morup","raw_affiliation_strings":["Danmarks Tekniske Universitet, Lyngby, DK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Danmarks Tekniske Universitet, Lyngby, DK","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7231,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.91290227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2017","issue":null,"first_page":"2896","last_page":"2899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9987000226974487,"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":0.9987000226974487,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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":0.9747999906539917,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.711095929145813},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6732646822929382},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6645228862762451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6187677979469299},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5905543565750122},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5575463175773621},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5360399484634399},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5279169082641602},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"Type 2 diabetes","score":0.49173668026924133},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4408630132675171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32426717877388},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.25721096992492676},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19733431935310364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711095929145813},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6732646822929382},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6645228862762451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187677979469299},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5905543565750122},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5575463175773621},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5360399484634399},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5279169082641602},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.49173668026924133},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4408630132675171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32426717877388},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.25721096992492676},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19733431935310364},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2017.8037462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29060503","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29060503","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/da3de830-6025-48f0-8027-7179d09c32c4","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/da3de830-6025-48f0-8027-7179d09c32c4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mohebbi , A , Arad\u00f3ttir , T B , Johansen , A R , Bengtsson , H , Fraccaro , M &amp; M\u00f8rup , M 2017 , A deep learning approach to adherence detection for type 2 diabetics . in Proceedings of 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society . IEEE , pp. 2896-9 , 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society , Jeju , Korea, Republic of , 11/07/2017 . https://doi.org/10.1109/EMBC.2017.8037462","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1608662320","https://openalex.org/W1677182931","https://openalex.org/W2028300946","https://openalex.org/W2034327086","https://openalex.org/W2095705004","https://openalex.org/W2106049537","https://openalex.org/W2114302589","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2168814550","https://openalex.org/W2171236972","https://openalex.org/W2271840356","https://openalex.org/W2342075066","https://openalex.org/W2531966375","https://openalex.org/W2765995279","https://openalex.org/W2919115771","https://openalex.org/W2963696204","https://openalex.org/W2964121744","https://openalex.org/W6694517276"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2082756648","https://openalex.org/W3194278305","https://openalex.org/W2611989081","https://openalex.org/W2129863591","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Diabetes":[0],"has":[1],"become":[2],"one":[3],"of":[4,62,75,123,134],"the":[5,10,76,132],"biggest":[6],"health":[7],"problems":[8],"in":[9,21],"world.":[11],"In":[12,27],"this":[13,28,130],"context,":[14],"adherence":[15,33,138],"to":[16,23,105],"insulin":[17],"treatment":[18],"is":[19],"essential":[20],"order":[22],"avoid":[24],"life-threatening":[25],"complications.":[26],"pilot":[29],"study,":[30],"a":[31,71,94,100],"novel":[32],"detection":[34,139],"algorithm":[35],"using":[36,70,85,93],"Deep":[37],"Learning":[38],"(DL)":[39],"approaches":[40],"was":[41,125],"developed":[42],"for":[43,67,82,141],"type":[44],"2":[45],"diabetes":[46],"(T2D)":[47],"patients,":[48],"based":[49],"on":[50],"simulated":[51,66],"Continuous":[52],"Glucose":[53],"Monitoring":[54],"(CGM)":[55],"signals.":[56],"A":[57],"large":[58],"and":[59,110],"diverse":[60],"amount":[61],"CGM":[63],"signals":[64],"were":[65,91],"T2D":[68,72,142],"patients":[69],"adapted":[73],"version":[74],"Medtronic":[77],"Virtual":[78],"Patient":[79],"(MVP)":[80],"model":[81],"T1D.":[83],"By":[84],"these":[86],"signals,":[87],"different":[88],"classification":[89,117],"algorithms":[90],"compared":[92],"comprehensive":[95],"grid":[96],"search.":[97],"We":[98],"contrast":[99],"standard":[101],"logistic":[102],"regression":[103],"baseline":[104],"Multi-":[106],"Layer":[107],"Perceptrons":[108],"(MLPs)":[109],"Convolutional":[111],"Neural":[112],"Networks":[113],"(CNNs).":[114],"The":[115],"best":[116],"performance":[118],"with":[119,127],"an":[120],"average":[121],"accuracy":[122],"77:5%":[124],"achieved":[126],"CNN.":[128],"Hence,":[129],"indicates":[131],"potential":[133],"DL,":[135],"when":[136],"considering":[137],"systems":[140],"patients.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
