Vascular fractal dimension (VFD): A well-known measure of the geometric complexity of vasculature ... OCTA parameters were modelled using the continuous and multivariate logistic regression (MLR) ...

Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...

First, the model adopts tensor canonical polyadic (CP) decomposition to learn two dictionaries from spatial and spectral directions, respectively, which can help to generate a double dictionary ...

The final, formatted version of the article will be published soon. Objective: Compare the performance of the Multivariable logistic regression (LR) model based on traditional statistical methods and ...

In existing methods, signed distance field is widely used due to its excellent geometric representation ability. However, visual cues and pose prior information are not fully explored in signed ...

Patients were divided into a normal discharge group and a delayed discharge group based on whether their hospital stay exceeded 48 hours.Univariate analysis and multivariate logistic regression ...

Multivariable logistic regression identified factors associated with drug indication withdrawal. Among 167 accelerated approval indications for 113 anticancer drugs, by August 2024, 102 (61%) had been ...

Objective To develop a multivariable model for predicting the progression of systemic sclerosis-associated interstitial lung disease (SSc-ILD) over 52 weeks. Methods We used logistic regression models ...