Development and validation of a novel prognostic model to predict 1-year post-transplant mortality for acute-on-chronic hepatitis B liver failure: a nationwide, multicentre, cohort study ...

For BSR, variable selection was guided by the Bayesian information criterion (BIC). Predictive models were constructed and evaluated using receiver operating characteristic (ROC) curves, assessed ...

The objective is to create a reliable and accurate predictive model to identify individuals at risk of developing drug addiction. A range of machine learning algorithms, including logistic regression, ...

Centaur, an AI model trained on 10 million decisions, learns to simulate human thinking, even in unfamiliar situations.

This study assesses the performance of different cross-validation splits for brain-signal-based Auditory Attention Decoding (AAD) using deep neural networks on three publicly available ...