{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T15:03:01Z","timestamp":1782831781795,"version":"3.54.5"},"reference-count":54,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003625","name":"Korea Ministry of Health and Welfare","doi-asserted-by":"publisher","award":["RS-2024-00335936"],"award-info":[{"award-number":["RS-2024-00335936"]}],"id":[{"id":"10.13039\/501100003625","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003710","name":"Korea Health Industry Development Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003710","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003081","name":"Ministry of Education, Ethiopia","doi-asserted-by":"publisher","award":["2120240615426"],"award-info":[{"award-number":["2120240615426"]}],"id":[{"id":"10.13039\/501100003081","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","diabetesresearchclinicalpractice.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Research and Clinical Practice"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1016\/j.diabres.2025.112378","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T23:49:25Z","timestamp":1752623365000},"page":"112378","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":3,"special_numbering":"C","title":["Prediction of diabetic retinopathy using machine learning and its association with dementia risk in older adults with type 2 diabetes mellitus"],"prefix":"10.1016","volume":"226","author":[{"given":"So Hee","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2293-4555","authenticated-orcid":false,"given":"Gyubeom","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong Yun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ja Young","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9267-9158","authenticated-orcid":false,"given":"Seung-Jin","family":"Kwag","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2033-6671","authenticated-orcid":false,"given":"Seo Young","family":"Sohn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sang Joon","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9175-6641","authenticated-orcid":false,"given":"Dughyun","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0119-5818","authenticated-orcid":false,"given":"Sang Youl","family":"Rhee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rae Woong","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.diabres.2025.112378_b0005","doi-asserted-by":"crossref","first-page":"e2004","DOI":"10.1002\/hsr2.2004","article-title":"Diabetes mellitus, the fastest growing global public health concern: early detection should be focused","volume":"7","author":"Hossain","year":"2024","journal-title":"Health Sci Reports"},{"issue":"10394","key":"10.1016\/j.diabres.2025.112378_b0010","doi-asserted-by":"crossref","first-page":"2087","DOI":"10.1016\/S0140-6736(23)01296-5","article-title":"Diabetes: a defining disease of the 21st century","volume":"401","author":"The","year":"2023","journal-title":"Lancet"},{"issue":"3","key":"10.1016\/j.diabres.2025.112378_b0015","doi-asserted-by":"crossref","first-page":"489","DOI":"10.4239\/wjd.v6.i3.489","article-title":"Diabetic retinopathy - ocular complications of diabetes mellitus","volume":"6","author":"Nentwich","year":"2015","journal-title":"World J Diabetes"},{"issue":"7","key":"10.1016\/j.diabres.2025.112378_b0020","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1038\/s41581-020-0278-5","article-title":"Genetics of diabetes mellitus and diabetes complications","volume":"16","author":"Cole","year":"2020","journal-title":"Nat Rev Nephrol"},{"issue":"9","key":"10.1016\/j.diabres.2025.112378_b0025","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1038\/s41574-022-00690-7","article-title":"The burden and risks of emerging complications of diabetes mellitus","volume":"18","author":"Tomic","year":"2022","journal-title":"Nat Rev Endocrinol"},{"issue":"4","key":"10.1016\/j.diabres.2025.112378_b0030","first-page":"620","article-title":"Prevalence of diabetic retinopathy in undiagnosed diabetic patients: a nationwide population-based study","volume":"46","author":"Jang","year":"2022","journal-title":"dmj"},{"issue":"2","key":"10.1016\/j.diabres.2025.112378_b0035","first-page":"302","article-title":"Prevalence of diabetic retinopathy, proliferative diabetic retinopathy and non-proliferative diabetic retinopathy in Asian T2DM patients: a systematic review and Meta-analysis","volume":"12","author":"Yang","year":"2019","journal-title":"Int J Ophthalmol"},{"issue":"3","key":"10.1016\/j.diabres.2025.112378_b0040","doi-asserted-by":"crossref","first-page":"556","DOI":"10.2337\/dc11-1909","article-title":"Global prevalence and major risk factors of diabetic retinopathy","volume":"35","author":"Yau","year":"2012","journal-title":"Diabetes Care"},{"issue":"6","key":"10.1016\/j.diabres.2025.112378_b0045","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1001\/jama.2010.1111","article-title":"Prevalence of diabetic retinopathy in the United States, 2005-2008","volume":"304","author":"Zhang","year":"2010","journal-title":"J Am Med Assoc"},{"issue":"11","key":"10.1016\/j.diabres.2025.112378_b0050","doi-asserted-by":"crossref","first-page":"1580","DOI":"10.1016\/j.ophtha.2021.04.027","article-title":"Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis","volume":"128","author":"Teo","year":"2021","journal-title":"Ophthalmology"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0055","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/S1474-4422(05)70284-2","article-title":"Risk of dementia in diabetes mellitus: a systematic review","volume":"5","author":"Biessels","year":"2006","journal-title":"The Lancet Neurology"},{"issue":"6","key":"10.1016\/j.diabres.2025.112378_b0060","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1001\/jamapsychiatry.2015.0082","article-title":"Effect of depression and diabetes mellitus on the risk for dementia: a national population-based cohort study","volume":"72","author":"Katon","year":"2015","journal-title":"JAMA Psychiat"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0065","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1186\/s13098-024-01346-4","article-title":"The relationship between diabetes and the dementia risk: a meta-analysis","volume":"16","author":"Cao","year":"2024","journal-title":"Diabetol Metab Syndr"},{"key":"10.1016\/j.diabres.2025.112378_b0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.lfs.2020.117771","article-title":"Vascular cognitive impairment and dementia in type 2 diabetes mellitus: an overview","volume":"254","author":"Lyu","year":"2020","journal-title":"Life Sci"},{"key":"10.1016\/j.diabres.2025.112378_b0075","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2021.692911","article-title":"Association between diabetic retinopathy and cognitive impairment: a systematic review and meta-analysis","volume":"13","author":"Cheng","year":"2021","journal-title":"Front Aging Neurosci"},{"issue":"s3","key":"10.1016\/j.diabres.2025.112378_b0080","doi-asserted-by":"crossref","first-page":"S109","DOI":"10.3233\/JAD-132570","article-title":"Severe diabetic retinal disease and dementia risk in type 2 diabetes","volume":"42","author":"Exalto","year":"2014","journal-title":"J Alzheimer\u2019s Disease"},{"key":"10.1016\/j.diabres.2025.112378_b0085","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.ajo.2022.12.003","article-title":"Diabetic retinopathy and dementia association, beyond diabetes severity","volume":"249","author":"Lee","year":"2023","journal-title":"Am J Ophthalmol"},{"issue":"4","key":"10.1016\/j.diabres.2025.112378_b0090","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s00592-021-01829-0","article-title":"Diabetic retinopathy and cognitive dysfunction: a systematic review and meta-analysis","volume":"59","author":"Wu","year":"2022","journal-title":"Acta Diabetol"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0095","doi-asserted-by":"crossref","first-page":"22457","DOI":"10.1038\/s41598-023-49560-w","article-title":"Implementation of inclusion and exclusion criteria in clinical studies in OHDSI ATLAS software","volume":"13","author":"Blasini","year":"2023","journal-title":"Sci Rep"},{"issue":"2","key":"10.1016\/j.diabres.2025.112378_b0100","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1177\/1932296817706375","article-title":"Machine learning methods to predict diabetes complications","volume":"12","author":"Dagliati","year":"2018","journal-title":"J Diabetes Sci Technol"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0105","doi-asserted-by":"crossref","first-page":"2287","DOI":"10.1038\/s41598-024-52723-y","article-title":"A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data","volume":"14","author":"Ahmadi","year":"2024","journal-title":"Sci Rep"},{"issue":"9","key":"10.1016\/j.diabres.2025.112378_b0110","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1186\/s12859-018-2277-0","article-title":"Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms","volume":"19","author":"Tsao","year":"2018","journal-title":"BMC Bioinf"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0115","doi-asserted-by":"crossref","first-page":"e10","DOI":"10.1016\/S2589-7500(20)30250-8","article-title":"Predicting the risk of developing diabetic retinopathy using deep learning","volume":"3","author":"Bora","year":"2021","journal-title":"Lancet Digital Health"},{"issue":"4","key":"10.1016\/j.diabres.2025.112378_b0120","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1002\/bimj.200410135","article-title":"Estimation of the youden index and its associated cutoff point","volume":"47","author":"Fluss","year":"2005","journal-title":"Biom J"},{"key":"10.1016\/j.diabres.2025.112378_b0125","first-page":"966","article-title":"Health-analytics data to evidence suite (HADES): open-source software for observational research","volume":"310","author":"Schuemie","year":"2024","journal-title":"Stud Health Technol Inform"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0130","doi-asserted-by":"crossref","first-page":"e21","DOI":"10.1192\/j.eurpsy.2023.10","article-title":"Association between impaired glucose metabolism and long-term prognosis at the time of diagnosis of depression: Impaired glucose metabolism as a promising biomarker proposed through a machine-learning approach","volume":"66","author":"Lee","year":"2023","journal-title":"Eur Psychiatry"},{"key":"10.1016\/j.diabres.2025.112378_b0135","doi-asserted-by":"crossref","DOI":"10.1155\/2015\/189525","article-title":"Complications of diabetes","volume":"2015","author":"Papatheodorou","year":"2015","journal-title":"J Diabetes Res"},{"key":"10.1016\/j.diabres.2025.112378_b0140","doi-asserted-by":"crossref","unstructured":"Mekala, K.C. and A.G. Bertoni, Chapter 4 - Epidemiology of diabetes mellitus. In: Transplantation, Bioengineering, and Regeneration of the Endocrine Pancreas, G. Orlando, et al., Editors. 2020, Academic Press. p. 49-58.","DOI":"10.1016\/B978-0-12-814833-4.00004-6"},{"issue":"9","key":"10.1016\/j.diabres.2025.112378_b0145","doi-asserted-by":"crossref","first-page":"1343","DOI":"10.1093\/jamia\/ocaa120","article-title":"Predicting complications of diabetes mellitus using advanced machine learning algorithms","volume":"27","author":"Ljubic","year":"2020","journal-title":"J Am Med Inform Assoc"},{"key":"10.1016\/j.diabres.2025.112378_b0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.diabres.2022.110013","article-title":"Prediction of complications of type 2 diabetes: a machine learning approach","volume":"190","author":"Nicolucci","year":"2022","journal-title":"Diabetes Res Clin Pract"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0155","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1038\/s41398-018-0289-1","article-title":"Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach","volume":"8","author":"Dinga","year":"2018","journal-title":"Transl Psychiatry"},{"issue":"4","key":"10.1016\/j.diabres.2025.112378_b0160","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0125338","article-title":"The association between chronic kidney disease and diabetic retinopathy: the Korea national health and nutrition examination survey 2008-2010","volume":"10","author":"Park","year":"2015","journal-title":"PLoS One"},{"issue":"7","key":"10.1016\/j.diabres.2025.112378_b0165","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.4239\/wjd.v14.i7.1103","article-title":"Correlation between glycated hemoglobin A1c, urinary microalbumin, urinary creatinine, \u03b22 microglobulin, retinol binding protein and diabetic retinopathy","volume":"14","author":"Song","year":"2023","journal-title":"World J Diabetes"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0170","doi-asserted-by":"crossref","first-page":"9881","DOI":"10.1038\/s41598-023-35653-z","article-title":"A closer association between blood urea nitrogen and the probability of diabetic retinopathy in patients with shorter type 2 diabetes duration","volume":"13","author":"Zhong","year":"2023","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0175","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1186\/s12886-020-01713-5","article-title":"Associations of serum uric acid and urinary albumin with the severity of diabetic retinopathy in individuals with type 2 diabetes","volume":"20","author":"Chen","year":"2020","journal-title":"BMC Ophthalmol"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0180","article-title":"The relationship between erythrocytes and diabetes mellitus","volume":"2021","author":"Wang","year":"2021","journal-title":"J Diabetes Res"},{"issue":"6","key":"10.1016\/j.diabres.2025.112378_b0185","doi-asserted-by":"crossref","DOI":"10.1016\/j.diabet.2022.101389","article-title":"Prevalence and risk of diabetic complications in young-onset versus late-onset type 2 diabetes mellitus","volume":"48","author":"Cho","year":"2022","journal-title":"Diabetes Metab"},{"issue":"29","key":"10.1016\/j.diabres.2025.112378_b0190","doi-asserted-by":"crossref","DOI":"10.1097\/MD.0000000000016510","article-title":"Platelet distribution width, platelet count, and plateletcrit in diabetic retinopathy: a systematic review and meta-analysis of PRISMA guidelines","volume":"98","author":"Ji","year":"2019","journal-title":"Medicine"},{"issue":"3","key":"10.1016\/j.diabres.2025.112378_b0195","doi-asserted-by":"crossref","first-page":"797","DOI":"10.12669\/pjms.35.3.844","article-title":"Pattern of electrolyte imbalance in Type 2 diabetes patients: experience from a tertiary care hospital","volume":"35","author":"Khan","year":"2019","journal-title":"Pak J Med Sci"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0200","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1370\/afm.421","article-title":"Quality of preventive care for diabetes: effects of visit frequency and competing demands","volume":"4","author":"Fenton","year":"2006","journal-title":"Annals of Family Medicine"},{"key":"10.1016\/j.diabres.2025.112378_b0205","article-title":"Association between aspartate aminotransferase to alanine aminotransferase ratio and the risk of diabetes in chinese prediabetic population: a retrospective cohort study","volume":"10","author":"Wang","year":"2023","journal-title":"Front Public Health"},{"issue":"5","key":"10.1016\/j.diabres.2025.112378_b0210","first-page":"72","article-title":"Diabetes management before and after cancer diagnosis: missed opportunity","volume":"3","author":"Yao","year":"2015","journal-title":"Ann Transl Med"},{"issue":"null","key":"10.1016\/j.diabres.2025.112378_b0215","doi-asserted-by":"crossref","first-page":"847","DOI":"10.2147\/DMSO.S502129","article-title":"An exploration of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) platelet ratio index (APRI) scores with dysglycemia and diabetic retinopathy: the beichen eye study","volume":"18","author":"Chen","year":"2025","journal-title":"Diabetes, Metabolic Syndrome and Obesity"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0220","doi-asserted-by":"crossref","first-page":"9363","DOI":"10.1038\/s41598-022-13164-7","article-title":"Relationship between renal and liver function with diabetic retinopathy in patients with type 2 diabetes mellitus: a study based on cross-sectional data","volume":"12","author":"Yao","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.diabres.2025.112378_b0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.arr.2024.102523","article-title":"Associations between vision impairment and eye diseases with dementia, dementia subtypes and cognitive impairment: an umbrella review","volume":"101","author":"Rahmati","year":"2024","journal-title":"Ageing Res Rev"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0230","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.tem.2021.10.008","article-title":"Common pathways in dementia and diabetic retinopathy: understanding the mechanisms of diabetes-related cognitive decline","volume":"33","author":"Little","year":"2022","journal-title":"Trends in Endocrinol Metabolism"},{"issue":"5","key":"10.1016\/j.diabres.2025.112378_b0235","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1093\/jamia\/ocae028","article-title":"Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using theOHDSI network","volume":"31","author":"Naderalvojoud","year":"2024","journal-title":"J Am Med Inform Assoc"},{"key":"10.1016\/j.diabres.2025.112378_b0240","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.jbi.2016.10.016","article-title":"Evaluating common data models for use with a longitudinal community registry","volume":"64","author":"Garza","year":"2016","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.diabres.2025.112378_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2021.106394","article-title":"A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data","volume":"211","author":"Khalid","year":"2021","journal-title":"Comput Methods Programs Biomed"},{"issue":"4","key":"10.1016\/j.diabres.2025.112378_b0250","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1111\/dme.12313","article-title":"Delay in diabetic retinopathy screening increases the rate of detection of referable diabetic retinopathy","volume":"31","author":"Scanlon","year":"2014","journal-title":"Diabet Med"},{"issue":"4","key":"10.1016\/j.diabres.2025.112378_b0255","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/S2213-8587(19)30411-5","article-title":"Screening for diabetic retinopathy: new perspectives and challenges","volume":"8","author":"Vujosevic","year":"2020","journal-title":"Lancet Diabetes Endocrinol"},{"issue":"9","key":"10.1016\/j.diabres.2025.112378_b0260","doi-asserted-by":"crossref","first-page":"1614","DOI":"10.1007\/s00125-023-05940-5","article-title":"What else can we do to prevent diabetic retinopathy?","volume":"66","author":"Sim\u00f3","year":"2023","journal-title":"Diabetologia"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0265","doi-asserted-by":"crossref","first-page":"7","DOI":"10.14283\/jpad.2023.131","article-title":"Detection rates of mild cognitive impairment in primary care for the united states medicare population","volume":"11","author":"Liu","year":"2024","journal-title":"J Prev Alzheimers Dis"},{"issue":"1","key":"10.1016\/j.diabres.2025.112378_b0270","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1136\/amiajnl-2011-000376","article-title":"Validation of a common data model for active safety surveillance research","volume":"19","author":"Overhage","year":"2011","journal-title":"J Am Med Inform Assoc"}],"container-title":["Diabetes Research and Clinical Practice"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168822725003924?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168822725003924?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T23:48:56Z","timestamp":1772754536000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168822725003924"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":54,"alternative-id":["S0168822725003924"],"URL":"https:\/\/doi.org\/10.1016\/j.diabres.2025.112378","relation":{},"ISSN":["0168-8227"],"issn-type":[{"value":"0168-8227","type":"print"}],"subject":[],"published":{"date-parts":[[2025,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Prediction of diabetic retinopathy using machine learning and its association with dementia risk in older adults with type 2 diabetes mellitus","name":"articletitle","label":"Article Title"},{"value":"Diabetes Research and Clinical Practice","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.diabres.2025.112378","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112378"}}