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Fig. 1 | Respiratory Research

Fig. 1

From: An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems

Fig. 1

Schematics of data processing. A shows selected models with variable sets of the highest accuracies in ninety RFE procedures; the models involved in the RFE procedures were logistic regression, Naïve Bayes, and random forest; B illustrates number of times a variable was selected among the ninety RFE procedures; the count was the frequency for a feature to be chosen among the RFE procedures; C numbers of variables retained and tested in the RFE procedure in which the final chosen model was generated; the accuracy was the ratio of the number of correct predictions to the total number of predictions; D The variable importance level of the chosen model concerning the first nineteen features; the importance was the scaled score of the variable importance for the linear model. Abbreviations. ACE, angiotensin converting enzyme; ICU, intensive care unit; SSRI, selective serotonin receptor inhibitors

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