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 ...
Lev Facher covers the U.S. addiction and overdose crisis. OnPoint NYC, the nonprofit that was the first in the nation to openly offer supervised drug consumption services, celebrated its fourth ...
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 ...
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 ...
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