Continual exposure to AI in colonoscopy may reduce adenoma detection rate in standard colonoscopy without AI assistance, ...

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

This article demonstrates the preferred pattern for the application of logistic methods with an illustration of logistic regression applied to a data set in testing a research hypothesis.

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

A new study found that both lupus anticoagulant (LA) and anti-β2 glycoprotein I (β2GPI) IgG/IgM antibodies had predictive ...

Logistic regression is a machine learning technique for binary classification. For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, ...

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

Receiver operator characteristic curve analysis for AKI grade ≥ 2 demonstrated a 48-hour MTX level threshold of 1.28 μmol/L. Multivariate logistic regression analysis revealed age, male sex, elevated ...

A logistic regression analysis was performed with safe RTS as the dependent variable, for every specific test and the combination of passing all tests (independent variables) with the best ...