[Retracted] A Predictive Model for the Risk of Cognitive Impairment in Patients with Gallstones

Figure 3

The Lasso regression model is based on a default 10-fold crossvalidation for the process of variable screening and initial assessment. (a) This graph shows the relationship between the penalty coefficient log (lambda) and the retained variables. The number of intersecting curves is the number of variables retained at that log (lambda) value. (b) Using the 10-fold crossvalidation method, the relationship between binomial deviance and log (lambda) is plotted. (c) This bar graph displays the names of the 11 variables selected and their corresponding coefficient values. (d) Scatter plot exhibits the unsupervised clustering of the 11 variables using PCA, which allows a good differentiation between the presence and absence of cognitive impairment in patients with gallstones. The pink dots represent patients without cognitive impairment, and the blue dots represent patients with cognitive impairment.

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