Fig. 2From: Predictive characteristics and model development for acute heart failure preceding hip fracture surgery in elderly hypertensive patients: a retrospective machine learning approachData statistics and clinical feature selection using the LASSO binary logistic regression model. A 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). B LASSO coefficient profiles of the 14 features. A coefficient profile plot was produced against the log(lambda) sequenceBack to article page