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)

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外文摘要：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.”

外文关键词：

GuangzhouPeople's Republic of ChinaA siaAlgorithmsAngiographyCardiologyCardiovascular Diagnostic TechniquesCyborgsDiabetic AngiopathiesDiabetic RetinopathyEmerging TechnologiesEye Diseases and ConditionsHealth and MedicineImaging TechnologyMachine Learn ingNutritional and Metabolic Diseases and ConditionsOphthalmologyOptical Coherence TomographyRetinal Diseases and ConditionsRetinopathyTechnologyV ascular Diseases and Conditions

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Jul.2)