An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Abstract: Cardiovascular diseases (CVDs) remain the leading cause of mortality globally, emphasizing the need for accurate and privacy-preserving risk prediction models. This study proposes a ...

The correlation between Arctic wildfires and abnormal snow cover under global warming is of growing concern. A comprehensive ...

The correlation between Arctic wildfires and abnormal snow cover under global warming is of growing concern. A comprehensive quantitative assessment ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Solution, is now a qualified solution on Mayo Clinic Platform, marking a major milestone in the company’s eight-year journey ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Abstract: Renal amyloidosis is a rare but severe disorder characterized by abnormal protein accumulation in the kidneys, leading to progressive renal dysfunction. Early detection is essential for ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...