{"id":"https://openalex.org/W4405489430","doi":"https://doi.org/10.1109/embc53108.2024.10781638","title":"Development of personalized interpretable multilevel prediction models for the risk assessment of hypoglycemia in Type 1 Diabetes","display_name":"Development of personalized interpretable multilevel prediction models for the risk assessment of hypoglycemia in Type 1 Diabetes","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405489430","doi":"https://doi.org/10.1109/embc53108.2024.10781638","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039236"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10781638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th 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/A5016849904","display_name":"\u039c\u03b1\u03c1\u03af\u03b1 \u0391\u03b8\u03b1\u03bd\u03b1\u03c3\u03af\u03bf\u03c5","orcid":"https://orcid.org/0000-0003-1575-9100"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Maria Athanasiou","raw_affiliation_strings":["National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115513449","display_name":"Nefeli Myropoulou","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nefeli Myropoulou","raw_affiliation_strings":["National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064788420","display_name":"Konstantia Zarkogianni","orcid":"https://orcid.org/0000-0003-3886-1618"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantia Zarkogianni","raw_affiliation_strings":["National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082313849","display_name":"Konstantina S. Nikita","orcid":"https://orcid.org/0000-0001-8255-4354"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantina S. Nikita","raw_affiliation_strings":["National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,School of Electrical and Computer Engineering,Athens,Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016849904"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.9374,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80323665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T11171","display_name":"Diabetes and associated disorders","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.978600025177002,"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":0.5956071615219116},{"id":"https://openalex.org/keywords/hypoglycemia","display_name":"Hypoglycemia","score":0.5882956385612488},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"Type 2 diabetes","score":0.4634629786014557},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.45999324321746826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40040338039398193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3999931514263153},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39957094192504883},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2828269600868225},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.06626790761947632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5956071615219116},{"id":"https://openalex.org/C2780668416","wikidata":"https://www.wikidata.org/wiki/Q202758","display_name":"Hypoglycemia","level":3,"score":0.5882956385612488},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.4634629786014557},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.45999324321746826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40040338039398193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3999931514263153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39957094192504883},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2828269600868225},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.06626790761947632}],"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":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":true},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":true},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":true},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007328","descriptor_name":"Insulin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007328","descriptor_name":"Insulin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007328","descriptor_name":"Insulin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10781638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039236","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039236","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2012586333","https://openalex.org/W2099719924","https://openalex.org/W2110093215","https://openalex.org/W2111184079","https://openalex.org/W2114131699","https://openalex.org/W2131241448","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2149241633","https://openalex.org/W2149706766","https://openalex.org/W2295598076","https://openalex.org/W2976779993","https://openalex.org/W2988860641","https://openalex.org/W2999615587","https://openalex.org/W3031241991","https://openalex.org/W3040704051","https://openalex.org/W3120565934","https://openalex.org/W3210902789","https://openalex.org/W4385236302","https://openalex.org/W4387400318","https://openalex.org/W4400762160","https://openalex.org/W6678911119"],"related_works":["https://openalex.org/W4213318607","https://openalex.org/W2373648995","https://openalex.org/W4361214851","https://openalex.org/W2084374993","https://openalex.org/W2743557138","https://openalex.org/W4312224640","https://openalex.org/W2733743115","https://openalex.org/W2309375030","https://openalex.org/W2469549964","https://openalex.org/W80843980"],"abstract_inverted_index":{"Prognostic":[0],"tools":[1],"for":[2,38,96,131,151,164],"the":[3,53,74,81,86,97,120,123,132,135,143,161,165,187,190,195,199,208],"timely":[4],"identification":[5],"of":[6,31,35,77,90,100,122,134,146,168,189,198],"hypoglycemia":[7,39,101],"can":[8],"play":[9],"a":[10,129],"pivotal":[11],"role":[12],"in":[13,102],"Type":[14],"1":[15],"Diabetes":[16],"Mellitus":[17],"(T1DM)":[18],"management":[19],"by":[20,160],"facilitating":[21],"preventive":[22],"interventions":[23],"that":[24],"improve":[25],"health":[26],"outcomes":[27],"and":[28,52,66,88,119,178],"enhance":[29],"quality":[30],"life.":[32],"The":[33,104,157],"adoption":[34],"prediction":[36,94,166],"models":[37,95,110,163,192],"risk":[40,98,210],"assessment":[41,99],"hinges":[42],"on":[43,49],"their":[44],"reliability,":[45],"which":[46],"is":[47,139],"founded":[48],"predictive":[50],"accuracy":[51],"models'":[54],"ability":[55],"to":[56,193],"yield":[57],"interpretable":[58,92],"outputs.":[59],"By":[60],"leveraging":[61],"continuous":[62],"glucose":[63],"monitoring":[64],"(CGM)":[65],"insulin":[67,136],"data":[68],"along":[69],"with":[70,112,173,182],"meal":[71],"information":[72],"from":[73],"medical":[75],"records":[76],"12":[78],"T1DM":[79],"patients,":[80],"present":[82],"paper":[83],"aims":[84],"at":[85],"development":[87],"evaluation":[89],"personalized":[91],"multilevel":[93,144],"T1DM.":[103],"proposed":[105,191],"hybrid":[106],"approach":[107],"combines":[108],"mathematical":[109],"(MM)":[111],"various":[113],"tree-based":[114],"machine":[115],"learning":[116],"(ML)":[117],"techniques":[118],"use":[121],"TreeSHAP":[124],"interpretability":[125],"method.":[126],"Among":[127],"others,":[128],"MM":[130],"activation":[133],"signaling":[137],"pathway":[138],"harnessed":[140],"towards":[141],"capturing":[142],"mechanisms":[145],"glucose-insulin":[147],"dynamics.":[148],"Various":[149],"strategies":[150],"addressing":[152],"class":[153],"imbalance":[154],"are":[155],"investigated.":[156],"results":[158],"obtained":[159],"best-performing":[162],"windows":[167],"0-30":[169],"min":[170,180],"(Random":[171],"Forest":[172],"Random":[174],"Oversampling,":[175],"AUC:":[176,184],"92.11\u00b17.03%)":[177],"30-60":[179],"(XGBoost":[181],"SMOTE,":[183],"71.42\u00b114.34%)":[185],"indicate":[186],"potential":[188],"handle":[194],"unbalanced":[196],"nature":[197],"considered":[200],"dataset,":[201],"while":[202],"providing":[203],"clinically":[204],"meaningful":[205],"insights":[206],"about":[207],"estimated":[209],"scores.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
