Research graph
References from Development and validation of an explainable machine learning model for differentiating diabetic nephropathy from diabetic retinopathy in patients with type 2 diabetes. Local targets link to admitted publications; unresolved targets remain external evidence.
Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: A systematic analysis for the Global Burden of Disease Study 2021
10.1016/s0140-6736(23)01301-6 · 2023 · External reference
The global, regional and national burden of type 2 diabetes mellitus in the past, present and future: A systematic analysis of the Global Burden of Disease Study 2019
10.3389/fendo.2023.1192629 · 2023 · External reference
Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: A systematic analysis for the Global Burden of Disease Study 2021
10.1016/s0140-6736(24)00933-4 · 2024 · External reference
Idf diabetes atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045
10.1016/j.diabres.2021.109119 · 2022 · External reference
Diabetes in China part 2: Prevention, challenges, and progress
10.1016/s2468-2667(24)00251-2 · 2024 · External reference
Prevalence and impact of sociodemographic factors, comorbidities, and lifestyle on diabetes complications among patients with type 2 diabetes in Riyadh
10.1038/s41598-025-02559-x · 2025 · External reference
Global, regional, and national burden and trends of type 2 diabetes mellitus among women of childbearing age from 1990 to 2021, with projections to 2030: A systematic analysis for the Global Burden of Disease Study 2021
10.1007/s12020-025-04337-1 · 2025 · External reference
Global economic burden of diabetes in adults: Projections from 2015 to 2030
10.2337/dc17-1962 · 2018 · External reference
Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus
10.3389/fendo.2025.1611499 · 2025 · External reference
Parallelism and non-parallelism in diabetic nephropathy and diabetic retinopathy
10.3389/fendo.2024.1336123 · 2024 · External reference
Fundamental principles of an effective diabetic retinopathy screening program
10.1007/s00592-020-01506-8 · 2020 · External reference
Causes of vision loss worldwide, 1990-2010: A systematic analysis
10.1016/s2214-109x(13)70113-x · 2013 · External reference
Diabetic retinopathy: Looking forward to 2030
10.3389/fendo.2022.1077669 · 2022 · External reference
Retinopathy progression and the risk of end-stage kidney disease: Results from a longitudinal Japanese cohort of 232 patients with type 2 diabetes and biopsy-proven diabetic kidney disease
10.1136/bmjdrc-2019-000726 · 2019 · External reference
The role of inflammation in diabetic retinopathy
10.3389/fimmu.2020.583687 · 2020 · External reference
A review of traditional Chinese medicine on treatment of diabetic nephropathy and the involved mechanisms
10.1142/s0192415x22500744 · 2022 · External reference
Retinal microvascular abnormalities and renal dysfunction: The Atherosclerosis Risk in Communities Study
10.1097/01.asn.0000136133.28194.e4 · 2004 · External reference
Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals
10.1038/s42003-022-03448-z · 2022 · External reference
Diabetic nephropathy: Pathogenesis, mechanisms, and therapeutic strategies
10.1055/a-2435-8264 · 2025 · External reference
Clinical therapeutic strategies for early stage of diabetic kidney disease
10.4239/wjd.v5.i3.342 · 2014 · External reference
Multinational assessment of accuracy of equations for predicting risk of kidney failure: A meta-analysis
10.1001/jama.2015.18202 · 2016 · External reference
Evaluation and management of chronic kidney disease: Synopsis of the Kidney Disease: Improving Global Outcomes 2024 Clinical Practice Guideline
10.7326/annals-24-01926 · 2025 · External reference
Diabetic kidney disease: An update
10.1016/j.mcna.2023.03.004 · 2023 · External reference
Management of diabetes in pregnancy: Standards of care in diabetes-2025
10.2337/dc25-s015 · 2025 · External reference
Value of interventional radiology: Past, present, and future
10.1055/s-0039-1679951 · 2019 · External reference
Trends and outcomes of the use of percutaneous native kidney biopsy in the United States: 5-year data analysis of the Nationwide Inpatient Sample
10.1093/ckj/sfx102 · 2018 · External reference
Preoperative fundus examination in patients with diabetes scheduled for surgery
10.1111/jdi.13482 · 2021 · External reference
A risk stratification approach to allocating diabetes education and support services
10.1089/dia.2021.0253 · 2022 · External reference
Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging
10.1007/s40200-025-01596-7 · 2025 · External reference
Machine learning methods to predict diabetes complications
10.1177/1932296817706375 · 2018 · External reference
TRIPOD+AI statement: Updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: A multi-center study
10.1186/s13054-024-05138-0 · 2024 · External reference
Machine learning-based model for prediction of outcomes in acute stroke
10.1161/strokeaha.118.024293 · 2019 · External reference
Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak
10.1016/j.jenvman.2023.119866 · 2024 · External reference
Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: A model development and validation study
10.1016/j.eclinm.2025.103069 · 2025 · External reference
Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach
10.3389/fendo.2024.1376220 · 2024 · External reference
Machine learning-based prediction of diabetic patients using blood routine data
10.1016/j.ymeth.2024.07.001 · 2024 · External reference
Predicting optimal deep brain stimulation parameters for Parkinson's disease using functional MRI and machine learning
10.1038/s41467-021-23311-9 · 2021 · External reference
Disease variant prediction with deep generative models of evolutionary data
10.1038/s41586-021-04043-8 · 2021 · External reference
A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction
10.1007/s00395-023-00982-7 · 2023 · External reference
