Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms

Sex- and Age-Specific Prevalence and Incidence Rates of Sight-Threatening Diabetic Retinopathy in Taiwan

(2014) Jen-Chieh Lin et al.   JAMA Ophthalmology

Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study

(2013) Ein Oh et al.   BMC Medical Informatics and Decision Making

Standards of Medical Care in Diabetes--2014

(2013)   DIABETES CARE

HbA1c for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?

(2013) Bernd Kowall et al.   Diabetes Metabolic Syndrome and Obesity-Targets and Therapy

Global Prevalence and Major Risk Factors of Diabetic Retinopathy

(2012) J. W. Y. Yau et al.   DIABETES CARE

Accountability, utilization and providers for diabetes management in Taiwan, 2000–2009: An analysis of the National Health Insurance database

(2012) Tien-Jyun Chang et al.   JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION

Diabetes-related kidney, eye, and foot disease in Taiwan: An analysis of the nationwide data for 2000–2009

(2012) Yu-Yao Huang et al.   JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION

Individual risk assessment and information technology to optimise screening frequency for diabetic retinopathy

(2011) T. Aspelund et al.   DIABETOLOGIA

Predicting the risk of diabetic retinopathy in type 2 diabetic patients

(2011) Francesco Semeraro et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

Long-term effects of a randomised trial of a 6-year lifestyle intervention in impaired glucose tolerance on diabetes-related microvascular complications: the China Da Qing Diabetes Prevention Outcome Study

(2010) Q. Gong et al.   DIABETOLOGIA