Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study

The sparse learning model using LASSO was effective in analyzing the epidemiological underlying patterns of DR. This is the first study to develop a machine learning model to predict DR risk using health records. LASSO can be an excellent choice when both discriminative power and variable selection are important in the analysis of high-dimensional electronic health records. (Source: BMC Medical Informatics and Decision Making – Latest articles) …read more