Figure 3 | Scientific Reports

Figure 3

From: Prediction of emergency department presentations for acute coronary syndrome using a machine learning approach

Figure 3

(a) Feature importance of Random Forest model. (b) Feature importance of the LASSO model. The top 10 importance of individual predictors for machine learning algorithms predicting ACS incidence with a one-day prediction horizon. Abbreviations: LASSO: Least Absolute Shrinkage and Selection Operator. LASSO was employed concurrently with the Multivariable Linear Regression model to serve as a feature selection tool.

Back to article page