{"id":"https://openalex.org/W4309759513","doi":"https://doi.org/10.1080/08839514.2022.2145644","title":"Artificial Intelligence-based Prediction of Diabetes and Prediabetes Using Health Checkup Data in Korea","display_name":"Artificial Intelligence-based Prediction of Diabetes and Prediabetes Using Health Checkup Data in Korea","publication_year":2022,"publication_date":"2022-11-21","ids":{"openalex":"https://openalex.org/W4309759513","doi":"https://doi.org/10.1080/08839514.2022.2145644"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2022.2145644","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2145644","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2022.2145644","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081133370","display_name":"Hyeonseop Yuk","orcid":null},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonseop Yuk","raw_affiliation_strings":["Chungbuk National University","Department of Information & Statistics, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chungbuk National University","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"Department of Information & Statistics, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071984694","display_name":"Juhui Gim","orcid":"https://orcid.org/0000-0001-6362-8565"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juhui Gim","raw_affiliation_strings":["Chungbuk National University","College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju-si, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chungbuk National University","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju-si, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063661388","display_name":"Jung Kee Min","orcid":"https://orcid.org/0000-0002-8006-8560"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]},{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]},{"id":"https://openalex.org/I4210136447","display_name":"Ulsan University Hospital","ror":"https://ror.org/03sab2a45","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210136447"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jung Kee Min","raw_affiliation_strings":["Chungbuk National University","Ulsan University Hospital, University of Ulsan","Department of Ophthalmology, College of Medicine, Ulsan University Hospital, University of Ulsan, Dong-gu, Ulsan, Republic of Korea","College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju-si, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chungbuk National University","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"Ulsan University Hospital, University of Ulsan","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Ophthalmology, College of Medicine, Ulsan University Hospital, University of Ulsan, Dong-gu, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001","https://openalex.org/I4210136447"]},{"raw_affiliation_string":"College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju-si, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080286216","display_name":"Jaesuk Yun","orcid":"https://orcid.org/0000-0001-6228-3323"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaesuk Yun","raw_affiliation_strings":["Chungbuk National University","College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju-si, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chungbuk National University","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju-si, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036063261","display_name":"Tae\u2010Young Heo","orcid":"https://orcid.org/0000-0002-0505-5559"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tae-Young Heo","raw_affiliation_strings":["Chungbuk National University","Department of Information & Statistics, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chungbuk National University","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"Department of Information & Statistics, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036063261","https://openalex.org/A5063661388","https://openalex.org/A5080286216"],"corresponding_institution_ids":["https://openalex.org/I163753206","https://openalex.org/I40542001","https://openalex.org/I4210136447"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":1.5037,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84689009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9979000091552734,"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/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9979000091552734,"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":0.9979000091552734,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prediabetes","display_name":"Prediabetes","score":0.992058515548706},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.7398354411125183},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.6643748879432678},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"Type 2 diabetes","score":0.6462562084197998},{"id":"https://openalex.org/keywords/blood-urea-nitrogen","display_name":"Blood urea nitrogen","score":0.5317270755767822},{"id":"https://openalex.org/keywords/creatinine","display_name":"Creatinine","score":0.526260256767273},{"id":"https://openalex.org/keywords/odds-ratio","display_name":"Odds ratio","score":0.48826098442077637},{"id":"https://openalex.org/keywords/impaired-fasting-glucose","display_name":"Impaired fasting glucose","score":0.44988635182380676},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.4279424846172333},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.25806403160095215},{"id":"https://openalex.org/keywords/impaired-glucose-tolerance","display_name":"Impaired glucose tolerance","score":0.13377901911735535}],"concepts":[{"id":"https://openalex.org/C2779668308","wikidata":"https://www.wikidata.org/wiki/Q2087205","display_name":"Prediabetes","level":4,"score":0.992058515548706},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7398354411125183},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.6643748879432678},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.6462562084197998},{"id":"https://openalex.org/C2778176769","wikidata":"https://www.wikidata.org/wiki/Q764079","display_name":"Blood urea nitrogen","level":3,"score":0.5317270755767822},{"id":"https://openalex.org/C2780306776","wikidata":"https://www.wikidata.org/wiki/Q426660","display_name":"Creatinine","level":2,"score":0.526260256767273},{"id":"https://openalex.org/C156957248","wikidata":"https://www.wikidata.org/wiki/Q1862216","display_name":"Odds ratio","level":2,"score":0.48826098442077637},{"id":"https://openalex.org/C2777185836","wikidata":"https://www.wikidata.org/wiki/Q3306264","display_name":"Impaired fasting glucose","level":5,"score":0.44988635182380676},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4279424846172333},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.25806403160095215},{"id":"https://openalex.org/C2780609358","wikidata":"https://www.wikidata.org/wiki/Q2087205","display_name":"Impaired glucose tolerance","level":4,"score":0.13377901911735535}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2022.2145644","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2145644","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dd7cc0cb5bf84ad6ac8c9f29fcb39bbc","is_oa":false,"landing_page_url":"https://doaj.org/article/dd7cc0cb5bf84ad6ac8c9f29fcb39bbc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 36, Iss 1 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2022.2145644","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2145644","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G5635126147","display_name":null,"funder_award_id":"19182MFDS410","funder_id":"https://openalex.org/F4320322014","funder_display_name":"Ministry of Food and Drug Safety"}],"funders":[{"id":"https://openalex.org/F4320322014","display_name":"Ministry of Food and Drug Safety","ror":"https://ror.org/01f7dp456"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W92469554","https://openalex.org/W1700449338","https://openalex.org/W1981976602","https://openalex.org/W2056132907","https://openalex.org/W2069321575","https://openalex.org/W2087416069","https://openalex.org/W2102636708","https://openalex.org/W2107797783","https://openalex.org/W2118740222","https://openalex.org/W2135409065","https://openalex.org/W2311559060","https://openalex.org/W2338167986","https://openalex.org/W2553137924","https://openalex.org/W2562319768","https://openalex.org/W2612690371","https://openalex.org/W2620829832","https://openalex.org/W2743088090","https://openalex.org/W2765767179","https://openalex.org/W2773395370","https://openalex.org/W2781900029","https://openalex.org/W2899909823","https://openalex.org/W2945583517","https://openalex.org/W2947186806","https://openalex.org/W2952630840","https://openalex.org/W2955443275","https://openalex.org/W2964946260","https://openalex.org/W2978260212","https://openalex.org/W2982433977","https://openalex.org/W2983229458","https://openalex.org/W2986446268","https://openalex.org/W2989625789","https://openalex.org/W2990177142","https://openalex.org/W3011484826","https://openalex.org/W3013505542","https://openalex.org/W3044339540","https://openalex.org/W3085135947","https://openalex.org/W3106920072","https://openalex.org/W3137532457","https://openalex.org/W3157142576","https://openalex.org/W3165097439","https://openalex.org/W3174030102","https://openalex.org/W3205351014","https://openalex.org/W3216633527","https://openalex.org/W4232771338","https://openalex.org/W4238714725","https://openalex.org/W4241952593","https://openalex.org/W4245754540"],"related_works":["https://openalex.org/W2039255545","https://openalex.org/W2027138151","https://openalex.org/W2017093084","https://openalex.org/W2065924350","https://openalex.org/W3137140979","https://openalex.org/W2037972321","https://openalex.org/W2025598858","https://openalex.org/W2087416069","https://openalex.org/W2078543177","https://openalex.org/W4220718597"],"abstract_inverted_index":{"The":[0,27,74,91],"economic":[1],"burden":[2],"of":[3,16,29,193],"Type":[4],"2":[5],"Diabetes":[6],"(T2D)":[7],"on":[8,60,83,102],"society":[9],"has":[10],"increased":[11],"over":[12],"time.":[13],"Early":[14],"prediction":[15,191],"diabetes":[17],"and":[18,24,89,99,120,126,188],"prediabetes":[19,121],"can":[20,38,167],"reduce":[21],"treatment":[22],"cost":[23],"improve":[25],"intervention.":[26],"development":[28],"(pre)diabetes":[30],"is":[31,152],"associated":[32],"with":[33],"various":[34],"health":[35,43],"conditions":[36],"that":[37],"be":[39,168],"monitored":[40],"by":[41],"routine":[42],"checkups.":[44],"This":[45],"study":[46],"aimed":[47],"to":[48,67,113,160,170,175,180],"develop":[49],"amachine":[50],"learning-based":[51],"model":[52],"for":[53,132],"predicting":[54],"(pre)diabetes.":[55],"Our":[56],"frameworks":[57],"were":[58,97],"based":[59,82],"22,722":[61],"patient":[62],"samples":[63],"collected":[64],"from":[65,173],"2013":[66],"2020":[68],"in":[69,72,147],"ageneral":[70],"hospital":[71],"Korea.":[73],"disease":[75],"progression":[76,172],"was":[77],"divided":[78],"into":[79],"three":[80],"categories":[81],"fasting":[84,123],"blood":[85,124,185],"glucose:":[86],"normal,":[87],"prediabetes,":[88,176],"T2D.":[90],"risk":[92,130],"factors":[93,158,178,192],"at":[94],"each":[95],"stage":[96,150],"identified":[98],"compared.":[100],"Based":[101],"the":[103,106,108,118,133,139,144,148],"area":[104],"under":[105],"curve,":[107],"support":[109],"vector":[110],"machine":[111],"appeared":[112],"have":[114],"optimal":[115],"performance.":[116],"At":[117],"normal":[119,149,174],"stages,":[122],"glucose":[125],"HbA1c":[127,137],"are":[128,190],"prevalent":[129],"features":[131,145],"suggested":[134],"models.":[135],"Interestingly,":[136],"had":[138],"highest":[140],"odds":[141],"ratio":[142],"among":[143],"even":[146],"(FBG":[151],"less":[153],"than":[154],"100).":[155],"In":[156],"addition,":[157],"related":[159,179],"liver":[161],"function,":[162,182],"such":[163,183],"as":[164,184],"gamma-glutamyl":[165],"transpeptidase":[166],"used":[169],"predict":[171],"while":[177],"renal":[181],"urea":[186],"nitrogen":[187],"creatinine,":[189],"T2D":[194],"development.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}