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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Development and validation of a nomogram for blood transfusion during intracranial aneurysm clamping surgery: a retrospective analysis

Fig. 2

Results of the least absolute shrinkage and selection operator analysis of all data are shown in (A) and (B). (A) The different values of λ are shown on the x-axis, where each line represents one of the explanatory variables and its role in the model. The plots demonstrate that to what extent variables that enter the model influence the response variable. A variable that enters the model earlier influences the model more than that enters the model later. (B) The different values of λ are shown on the x-axis, while the binary deviance is shown on the y-axis. λ min to 1se indicates the acceptable variable chosen. Six features, namely HB, ruptured, D-dimer, PLT, sex, and WBC, were entered before the λ1se line

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