Sun Yat-sen University Reports Findings in Type 2 Diabetes (Comparison of Machin e Learning Algorithms and Nomogram Construction for Diabetic Retinopathy Predict ion in Type 2 Diabetes Mellitus Patients)
Sun Yat-sen University Reports Findings in Type 2 Diabetes (Comparison of Machin e Learning Algorithms and Nomogram Construction for Diabetic Retinopathy Predict ion in Type 2 Diabetes Mellitus Patients)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nutritional and Metabolic Disease s and Conditions - Type 2 Diabetes is the subject of a report. According to news reporting out of Guangzhou, People’s Republic of China, by NewsRx editors, rese arch stated, “The aim of this study was to compare various machine learning algo rithms for constructing a diabetic retinopathy (DR) prediction model among type 2 diabetes mellitus (DM) patients and to develop a nomogram based on the best mo del. This cross-sectional study included DM patients receiving routine DR screen ing.”
Key words
Guangzhou/People’s Republic of China/A sia/Algorithms/Cyborgs/Diabetes Mellitus/Diabetic Angiopathies/Diabetic Ret inopathy/Emerging Technologies/Endocrine System Diseases and Conditions/Endoc rinology/Eye Diseases and Conditions/Glucose Metabolism Disorders/Health and Medicine/Machine Learning/Metabolic Diseases and Conditions/Non-Insulin Depen dent Diabetes Mellitus/Nutritional and Metabolic Diseases and Conditions/Ophth almology/Retinal Diseases and Conditions/Retinopathy/Type 2 Diabetes/Vascula r Diseases and Conditions
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