LASSO regression was used to select predictive factors, employing ten-fold cross-validation and a minimization criterion to determine the optimal coefficient λ, which led to the selection of nine non-zero coefficient predictive variables, including hyperlipidemia, sleep disorders, MMT score, NIHSS score, location of occlusion, CRP, ALB, FBG, and CK (Figure 2a and 2b). This evidence concerns the gene ALB and hyperlipidemia.