Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

The file 'Appendix III: Coefficients' contains the estimated regression coefficients and their standard errors for each of the 123 logistic regressions. The variables used in the readmission model are ...

The file ‘Appendix II: AUC’ presents the AUC or C-statistic for the logistic regressions of the 123 main diagnosis groups. The variables used in the readmission model are the same as used in the model ...