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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission

Fig. 4Fig. 4Fig. 4

Importance of predictor variables in models predicting critical in-hospital events from COVID-19-infected patient’s clinical data on hospital admission (A–F). Permutation based performance loss of all variables for the LR model (A), the regularized regression models L1 (B), L2 (C) and EN (D), and the SVM (E) and RF (F) model

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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