Advanced Machine Learning Models for Gender-Specific Antidepressant Response Prediction: Overcoming Data Imbalance for Precision Psychiatry Depressive disorders are complex, multifactorial conditions ...

For the Preeclampsia Integrated Estimate of RiSk (PIERS) Machine Learning (PIERS-ML) model and the logistic regress ...

Adjusted predictions or marginal means are often easier to understand than raw regression coefficients ... however, there is also a plot()-method to easily create publication-ready figures. Adjusted ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

When developing a clinical prediction rule that is based ... where the weights are the regression coefficients from the multiple regression model (log odds ratios (ORs) for logistic models and log HRs ...

There isn't a social program in this country that's more important to the financial well-being of Americans than Social Security. In 2023, it singlehandedly pulled 22 million people above the ...

“Year 2025 will be very different. The Snake — with a strong fire element, along with some metal and earth elements — is a zodiac sign that can cause significant clashes and conflicts. We ...

Ahead of the big game, predictions for the matchup are beginning to roll in, with one of the boldest coming from Fox Sports analyst and "The Herd" host Colin Cowherd. After watching the NFC and ...

This prediction is based on the model giving Pittsburgh a 65% chance of winning the game. Furthermore, Dimers predicts that the bookies have gotten it right and UNC and Pittsburgh each have a 50% ...

Which NFL team has the best chance of winning the Super Bowl, the final game on the NFL playoff schedule? ESPN Analytics has revealed its "Matchup Predictor" numbers for the Super Bowl game ...