{"id":"https://openalex.org/W7125972203","doi":"https://doi.org/10.1109/smc58881.2025.11342991","title":"Long-Term disease progression and incidence of complications in Type 2 Diabetes Mellitus","display_name":"Long-Term disease progression and incidence of complications in Type 2 Diabetes Mellitus","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125972203","doi":"https://doi.org/10.1109/smc58881.2025.11342991"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","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/A5124095985","display_name":"Gergely P\u00f3sfai","orcid":null},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Gergely P\u00f3sfai","raw_affiliation_strings":["Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073738479","display_name":"Andrea De Gaetano","orcid":"https://orcid.org/0000-0001-7712-056X"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andrea De Gaetano","raw_affiliation_strings":["Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124106419","display_name":"Levente Kov\u00e1cs","orcid":null},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Levente Kov\u00e1cs","raw_affiliation_strings":["Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097277581","display_name":"Gy\u00f6rgy Eigner","orcid":null},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gy\u00f6rgy Eigner","raw_affiliation_strings":["Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Research and Innovation Center ol Obuda University, Obuda University,Physiological Research Center,Budapest,Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5124095985"],"corresponding_institution_ids":["https://openalex.org/I103356709"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75160274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4120","last_page":"4125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10170","display_name":"Retinal Diseases and Treatments","score":0.4401000142097473,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.4401000142097473,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.12950000166893005,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10401","display_name":"Diabetes Treatment and Management","score":0.07840000092983246,"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/type-2-diabetes-mellitus","display_name":"Type 2 Diabetes Mellitus","score":0.5898000001907349},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.4999000132083893},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47839999198913574},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4375999867916107},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.435699999332428},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.41620001196861267},{"id":"https://openalex.org/keywords/incidence","display_name":"Incidence (geometry)","score":0.40639999508857727},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"Type 2 diabetes","score":0.3637000024318695},{"id":"https://openalex.org/keywords/probability-model","display_name":"Probability model","score":0.3562000095844269}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6312999725341797},{"id":"https://openalex.org/C2910068830","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 Diabetes Mellitus","level":3,"score":0.5898000001907349},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.4999000132083893},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4375999867916107},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.41620001196861267},{"id":"https://openalex.org/C61511704","wikidata":"https://www.wikidata.org/wiki/Q1671857","display_name":"Incidence (geometry)","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.3637000024318695},{"id":"https://openalex.org/C2984179964","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Probability model","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.353300005197525},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34450000524520874},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2766000032424927},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C81182388","wikidata":"https://www.wikidata.org/wiki/Q353963","display_name":"Complication","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.2669999897480011},{"id":"https://openalex.org/C2780920962","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"United Kingdom Prospective Diabetes Study","level":4,"score":0.2669000029563904},{"id":"https://openalex.org/C122203268","wikidata":"https://www.wikidata.org/wiki/Q5862903","display_name":"Probability theory","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5338900089263916,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1971870822","https://openalex.org/W2086204342","https://openalex.org/W2086620251","https://openalex.org/W2103962300","https://openalex.org/W2143450493","https://openalex.org/W2337004113","https://openalex.org/W2979509009","https://openalex.org/W3169874557","https://openalex.org/W4319160070"],"related_works":[],"abstract_inverted_index":{"Several":[0],"prior":[1],"studies":[2],"focused":[3,202],"on":[4,203],"the":[5,8,19,27,31,35,49,69,80,93,104,115,120,124,129,137,141,163,169,175,187,192,195,204,217,220,230,239,242],"estimation":[6],"of":[7,10,18,30,37,51,56,71,82,117,123,126,131,143,152,186,197,206,219,232,241],"probability":[9,36,50,70,205,231],"Type":[11],"2":[12],"Diabetes":[13],"Mellitus":[14],"(T2DM)":[15],"complications.":[16,127],"None":[17],"references":[20],"used":[21],"sophisticated":[22],"mathematical":[23],"models":[24],"to":[25,47,67,102,161,228],"simulate":[26],"long-term":[28],"progression":[29,81,240],"disease":[32],"when":[33],"estimating":[34],"a":[38,72,76,95,178,182,225,236],"complication.":[39],"This":[40],"study":[41],"extends":[42],"an":[43,88],"existing":[44],"T2DM":[45],"model":[46,105,164,176,212,222],"predict":[48,68],"Diabetic":[52,208],"Retinopathy.":[53,209],"The":[54,157,210],"benefit":[55],"this":[57],"approach":[58],"is":[59,213],"that":[60,110],"we":[61,173,201],"will":[62,84],"need":[63],"much":[64],"less":[65],"information":[66],"complication":[73],"than":[74],"in":[75,140,223,235],"standalone":[77],"model,":[78,94,138],"as":[79,227],"diabetes":[83,118],"be":[85,112],"estimated":[86],"with":[87,108],"identifiable":[89],"model.":[90],"To":[91],"expand":[92],"detailed":[96],"qualitative":[97],"analysis":[98,151],"was":[99,147,160],"required":[100],"first":[101],"write":[103,162],"equation":[106],"along":[107],"relationships":[109],"can":[111],"supported":[113],"by":[114,149],"pathogenesis":[116],"and":[119,165,190],"biological":[121],"background":[122],"development":[125],"Then":[128],"collection":[130],"data":[132,155,179,183],"necessary":[133],"for":[134,215],"setting":[135],"up":[136],"which":[139],"course":[142,196],"our":[144,198],"present":[145,199],"work":[146],"implemented":[148],"quantitative":[150],"publicly":[153],"available":[154,170],"releases.":[156],"next":[158],"step":[159],"identify":[166],"it":[167],"using":[168,177],"data.":[171],"Finally,":[172],"validated":[174],"set":[180],"from":[181],"source":[184],"independent":[185],"previous":[188],"ones":[189],"evaluated":[191],"results.":[193],"In":[194],"work,":[200],"developing":[207],"completed":[211],"suitable":[214],"supplementing":[216],"simulation":[218],"initial":[221],"such":[224],"way":[226],"estimate":[229],"retinopathy":[233],"appearing":[234],"patient":[237],"during":[238],"disease.":[243]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}