Logistic regression is a tool used in data science and machine learning to predict binary outcomes. Applications range from ...

Background and objective Gastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic ...

A study published today in the journal Nature by researchers at Columbia University described a new medical AI model that ...

to predict the survival of passengers in the Titanic dataset. Logistic regression is a widely used machine learning algorithm for binary classification problems, and in this case, it is applied to ...

Logistic regression, a statistical analysis method, is utilized in data science as a Machine Learning algorithm for classification and predictive analysis. In this context, a logistic regression model ...

Researchers highlight that the variability in speech perception among cochlear implant users can be addressed with a ...

from the 15 subjects in the WESAD dataset to effectively classify four different states – baseline, stress, amusement, and meditation. Seven traditional machine learning algorithms – Logistic ...