Decision Trees Regression: Decision tree regression uses a tree-like model to predict continuous numerical values and is ideal for use over logistic regression when categorical outcomes are not ...

The random forest model significantly outperformed all other models, including the logistic regression model that the entire paper focuses on, with an eventual AUC of 0.936 and an accuracy of 0.918.

Novel nomogram models predict early neurological deterioration and 90-day outcomes in AIS patients treated with IV ...

The AUC for the prediction of ECE for this model was 0.85. Conclusions: This multivariate regression model based on clinical, biopsy & 3TmpMRI parameters have a high predictive value for pathology ECE ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

Z. SU, G. ZHU, X. CHEN, Y YANG, Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression, Biometrika, Vol. 103 ...

Presenter Michael Hunter First presented at June 2021 virtual Workshop Content This video takes us from the univariate ACE model to a multivariate ACE model: from ACE to MACE. We begin with a review ...

Motivated by ultrahigh-dimensional biomarkers screening studies, we propose a model-free screening approach tailored to censored lifetime outcomes. Our proposal is built upon the introduction of a new ...

The new score, based on a multivariate regression model, demonstrated superior predictive accuracy for both 28-day and 90-day mortalities, with Areas under the ROC curves of 0.863 and 0.853 ...