A UK study found that nearly all families occasionally eat takeaway food together, with most using it as a convenient, social ...

A new study published in the journal of Nature Scientific Reports showed that high Life's Essential 8 (LE8) scores were ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and depression, as well as between higher BMI and depression risk, challenging ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Wosnitza finds that one of the new single-parameter families outperforms the linear logistic regression on a real world data set. The final paper in the issue, “Sovereign credit risk modeling using ...

Background and aims Quantifying systemic inflammation (SI) in acutely decompensated cirrhosis (ADC) is of major importance ...

This project implements a machine learning model to detect fake news articles. It uses text preprocessing techniques and a Logistic Regression model to classify news articles as real or fake. 2.Run ...