New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

Introduction Postpartum disengagement from HIV care increases risks for adverse maternal health outcomes and transmission of ...

Predictive modeling is reshaping how businesses anticipate challenges, seize opportunities, and optimize processes. By leveraging machine learning, ensemble methods, and advanced analytics, ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...

王明秋，王秀丽，Yang ...

Using single-nucleus RNA sequencing, the authors map transcriptional changes in the rat ventral tegmental area following chronic inflammatory pain and acute morphine exposure. Notably, their ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

The authors updated a diagnosis list to identify low-acuity emergency department visits by veterans and applied it to examine ...