The association between UAR and the risk of MASLD was analyzed using weighted binomial logistic regression, restricted cubic splines (RCS), and ... Although guidelines recommend imaging as a detection ...

Methods A randomised controlled trial, across eight hospitals in the UK, aimed to establish the clinical effectiveness of an undetectable hs-cTn and ECG (limit of detection and ECG discharge (LoDED)) ...

Binomial logistic regression, where the outcome is binary (e.g. death, yes/no) is often simply referred to as logistic regression and will be the focus of this article. For example, a team of medical ...

A binomial logistic regression was performed to determine the effects of VTM, ischemic core (cerebral blood flow <30), and perfusion lesion (delay time >3) on the likelihood that patients had the ...

With recent improvements in instrumentation and confinement techniques, the detection of molecules using electrochemical techniques has become easier than ever before; however, there are still ...

When training the logistic regression model, it only took a matter of seconds, while training four epochs of the RoBERTa-based model took about 26 minutes on my machine. While this is still not a very ...

Results: The precision of the random forest is 76.29% compared with Logistic regression with accuracy of 74.65% with statistical significance value p=0.03 (p. 0.05) using Independent sample t test.