Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - Diabetic Retinopathy is the subject of a report. A ccording to news reporting originating in Ganzhou, People’s Republic of China, b y NewsRx journalists, research stated, “This study aims to analyze the applicati on and clinical translation value of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical outcomes. A retrospe ctive study was conducted on 300 diabetic patients admitted to our hospital betw een January 2022 and October 2023.” The news reporters obtained a quote from the research from the Department of Oph thalmology, “The patients were divided into a diabetic retinopathy group (n=150) and a non-diabetic retinopathy group (n=150). The improved Beetle Antennae Sear ch (IBAS) was used for hyperparameter optimization in machine learning, and a se lf-evolving machine learning model based on XGBoost was developed. Value analysi s was performed on the predictive features for diabetic retinopathy selected thr ough multifactor logistic regression analysis, followed by the construction of a visualization system to calculate the risk of diabetic retinopathy occurrence. Multifactor logistic regression analysis revealed that being male, having a long er disease duration, higher systolic blood pressure, fasting blood glucose, glyc osylated hemoglobin, low-density lipoprotein cholesterol, and urine albumin-to-c reatinine ratio were risk factors for the development of diabetic retinopathy, w hile non-pharmacological treatment was a protective factor. The self-evolving ma chine learning model demonstrated significant performance advantages in early di agnosis and prediction of diabetic retinopathy occurrence.”
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