A Nomogram Model that Predicts the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients: A Retrospective Study

Figure 1

Clinical feature selection using the LASSO binary logistic regression model. (a) A coefficient profile plot was drawn against the log (lambda) sequence. (b) Eighteen features with nonzero coefficients were screened by optimal lambda. The partial likelihood deviance (binomial deviance) curve was drawn versus log (lambda). Dotted vertical lines were plotted according to 1 standard error criteria.

(a)

(b)