Sun Yat-sen University Reports Findings in Diabetic Retinopathy (Identification of diabetic retinopathy classification using machine learning algorithms on clin ical data and optical coherence tomography angiography)
Sun Yat-sen University Reports Findings in Diabetic Retinopathy (Identification of diabetic retinopathy classification using machine learning algorithms on clin ical data and optical coherence tomography angiography)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nutritional and Metabolic Disease s and Conditions - Diabetic Retinopathy is the subject of a report. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalist s, research stated, “To apply machine learning (ML) algorithms to perform multic lass diabetic retinopathy (DR) classification using both clinical data and optic al coherence tomography angiography (OCTA). In this cross-sectional observationa l study, clinical data and OCTA parameters from 203 diabetic patients (203 eye) were used to establish the ML models, and those from 169 diabetic patients (169 eye) were used for independent external validation.”
Key words
Guangzhou/People's Republic of China/A sia/Algorithms/Angiography/Cardiology/Cardiovascular Diagnostic Techniques/Cyborgs/Diabetic Angiopathies/Diabetic Retinopathy/Emerging Technologies/Eye Diseases and Conditions/Health and Medicine/Imaging Technology/Machine Learn ing/Nutritional and Metabolic Diseases and Conditions/Ophthalmology/Optical Coherence Tomography/Retinal Diseases and Conditions/Retinopathy/Technology/V ascular Diseases and Conditions
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