FIGURE 1.

A binomial logistic regression model of LASSO was used to select characteristics. (a) LASSO coefficient profiles of the 19 characteristics of stroke patients. (b) The selected optimal parameter (lambda) in the LASSO model was 10‐fold cross‐validated by the lowest criteria. The partial likelihood deviance (binomial deviation) against log(lambda) was plotted. Dotted vertical lines were drawn at the optimal values by using the minimum criteria and the 1 SE of the minimum criteria (the 1‐SE criteria). (c) Results of multivariate logistic regression analysis for predicting death within 6 months of stroke. Note. LASSO: least absolute shrinkage and selection operator; SE, standard error; WBS, Wong‐Baker FACES Pain Rating Scale; SNSA, systemic nutritional status assessment; WBC, white blood cells; PLR, platelet/lymphocyte ratio