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Screening of predictive factors. We used the LASSO regression method. (A) The LASSO regression method was used to choose predictive factors. (B) The penalty coefficient in the LASSO model was adjusted using cross-validation and minimum criteria. The vertical black line represented the optimal λ (i.e., the model provided the best fit to the data). The minimum λ was 0.080700, and ln(λ) =−2.517017. LASSO, the least absolute shrinkage and selection operator.
