Figure 2 | Scientific Reports

Figure 2

From: Development and validation of a prognostic model of survival for classic heatstroke patients: a multicenter study

Figure 2

Demographic and clinical feature selection using the LASSO regression model. (A) Ten time cross-validation for tuning parameter selection in the LASSO model. (B) LASSO coefficient profiles of variables. The LASSO was employed to regress high dimensional predictors. This technique applies an L1 penalty, shrinking some regression coefficients to exactly zero. The binomial deviance curve was sketched against log (λ), where λ represents the tuning parameter. LASSO, least absolute shrinkage and selection operator.

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