Publications by authors named "S M Ashikul Islam Pollob"

Article Synopsis
  • - The study aims to develop a machine learning system to predict diabetic retinopathy (DR) risk among diabetic patients, addressing a significant global health issue related to diabetes.
  • - Researchers analyzed data from 6,374 respondents in China, using methods like Boruta and LASSO to identify key predictors of DR, and trained models such as XGBoost, achieving high predictive accuracy (90.01%).
  • - The findings highlighted critical predictors for DR, including HbA1c levels and duration of diabetes, and suggested that the developed system could aid in early identification of patients at high risk for DR.
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