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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

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. 5

Partial-dependence profiles of creatinine for each model for predicting critical in-hospital events in COVID-19-infected patients on hospital admission. Results from 50 data splits are aggregated using local regression (LOESS). 90% of the creatinine values lie within the area represented by the grey box. The median creatinine value is represented by the vertical line. Creatinine values are given in mg/dl

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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