Abstract: COVID-19 prognosis using clinical tabular data faces significant challenges due to missing values and class imbalance issues. Existing methods often overlook the complex high-order ...

This article explores that question through the lens of a real-world Rust project: a system responsible for controlling ...

What Is Safety Data Overload in Pharmacovigilance?Safety data overload in pharmacovigilance refers to the situation where drug‑safety teams are inundated with an ever‑increasing volume of individual ...

Abstract: Data centers play a pivotal role in supporting digital transformation. However, they are among the most energy-intensive infrastructures as a result of increasing global computing load over ...

Data from 11 hospitals were collected. An unsupervised clustering model was used to extract classification patterns, and clinical experts assigned disease labels. Multiple machine learning models, ...