Background: This retrospective study aimed to develop and validate a prognostic evaluation system based on the LASSO-Cox regression model for ... Second, although our sample size is adequate for ...

The core focus of this project was implementing Ridge and Lasso Regression, which are advanced regularization techniques that prevent overfitting while improving model performance. By comparing these ...

This project consists of a deep dive on multiple linear regression ... model estimator (for OLS and Ridge) or derive the update rule for Pathwise Coordinate Descent (the discrete optimization ...

Get Instant Summarized Text (Gist) The Lasso-logistic regression (Lasso-LR) model demonstrates optimal performance in predicting in-hospital mortality for adults with alcoholic cirrhosis and ...

TUESDAY, May 27, 2025 (HealthDay News) -- The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting in-hospital mortality for adult ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

LANSING — Saab’s investment in Northern Michigan is being used as an example for state officials ... Saab CEO Erik Smith says the company’s Grayling project could be the first of multiple ...