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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Predictive modeling of preoperative acute heart failure in older adults with hypertension: a dual perspective of SHAP values and interaction analysis

Fig. 2

Data statistics and clinical feature selection using the LASSO binary logistic regression model. (A) LASSO coefficient profiles of the 21 features. A coefficient profile plot was produced against the log(lambda) sequence. (B) Optimal parameter (lambda) selection in the LASSO model used fivefold cross-validation via minimum criteria. The partial likelihood deviance (binomial deviance) curve was plotted versus log(lambda)

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