Moderate to severe OSA was associated with increased risk for severe and critical COVID-19, particularly in those with severe intermittent hypoxia.

Separate binary regression models When the dependent variable is ordinal, such as here, we can choose to dichotomise it and use binary logistic regression. A variable with three categories can be ...

In this paper we consider high-dimensional multiclass classification by sparse multinomial logistic regression. We propose first a feature selection procedure based on penalized maximum likelihood ...

This article addresses this issue by exploring an artificial intelligence-based approach, using a multinomial logistic regression model incorporating ten variables: six academic grades out of 20 and ...

Then, the CNN output probabilities are combined by the multinomial logistic regression to improve the drone surveillance accuracy through the fusion of the optical, radar, and audio sensors. Numerical ...

A multinomial logistic regression model was used to estimate the OR for being unemployed versus employed (reference) for cases aged 18–64 years versus their controls adjusting for education level at ...

Mathematical Models Recently, mathematical models using logistic-regression and Bayesian networks have been developed in order to predict the outcome of PULs ( Table 1 ).

Uterine Curettage One commonly used algorithm to diagnose ectopic pregnancy is based on the use of pelvic ultrasound to demonstrate the absence of an intrauterine sac followed by uterine curettage ...

A statistical model is autoregressive if it predicts future values based on past values (i.e., predicting future stock prices based on past performance).