Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...

The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...

Whether infection of cells by individual virions occurs randomly or if there is some form (s) of competition or cooperativity between individual virions remains largely unknown for most virus-cell ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Abstract: Large language models (LLMs) have demonstrated exceptional performance not only in natural language processing tasks but also in a great variety of non-linguistic domains. In diverse ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...

Abstract: Aiming at the problems that traditional methods rely on field measurements and complex mathematical models, and intelligent optimization algorithms tend to fall into local optima, this study ...

Predicting muscle injuries in professional soccer teams using gradient-boosted trees, random forests, K-nearest neighbors, polynomial regression, linear regression, and lasso regression.