Introduction ST-elevation myocardial infarction (STEMI) is one of the most prevalent presentations in young patients. It is ...

Additionally, machine learning techniques can handle issues such as missing values and multicollinearity ... and ensuring consistency in the definition and measurement of FI and its associated risk ...

The boundary definition of carbon accounting in this study draws ... It appears that there is no significant multicollinearity, considering the correlation coefficient between the key variable is ...

A tolerance value of less than 0.25 suggests serious multicollinearity. Statistical analyses were ... we did not collect data on muscle strength or physical performance to meet the definition of ...

Ridge regression is a statistical technique used to address the problem of multicollinearity in multiple linear regression models. Multicollinearity occurs when two or more independent variables ...

In addition, to avoid multicollinearity caused by similar features that perturb feature selection, all features were clustered using single-linkage hierarchical clustering with the distance metric ...

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