This study assessed the impact of hyperpolypharmacy on hospital readmission risk in 2 Medicare populations and identified effects of postdischarge ambulatory care. Objectives: Medication ...
In what he said was his first opportunity to apply a newly enacted section of guidelines from the U.S. Sentencing Commission, U.S. District Court Judge Frederic Block granted a defendant's motion to ...
Exploring the Past and Current Landscape of Biomarker-Driven Clinical Trials Through Large Language Models First, we pretrained the encoder of a transformer-based network using a self-supervised ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
President Donald Trump signed an executive order Thursday to expedite the reclassification of marijuana – an effort to increase research on its medical use but not fully legalize it. “This ...
Abstract: Network traffic classification (NTC) is vital for efficient network management, security, and performance optimization, particularly with 5G/6G technologies. Traditional methods, such as ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Abstract: Automatic underground object classification based on deep learning (DL) has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...
ABSTRACT: Rivers still play an important role in our societies, mainly as a water resource and a place of recreation, but nowadays, human activities have led to a profound modification of the natural ...