Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

To overcome the limitations of traditional roller-compacted concrete (RCC) compaction monitoring—which relies on macroscopic experiments, overlooks microscopic mechanisms, and lacks model ...

The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions. A machine learning (ML) model using ...

Abstract: The focus of the research is to utilise the XGBoost algorithm in comparison to the K-Means algorithm is to prevent pop-up windows from showing up on a web application. The K-Means Algorithm ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Perfluorochemicals (PFCs) are emergent and persistent organic pollutants with ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for addressing missing data in mine ventilation parameters. Using historical ventilation system data from ...

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...

Abstract: Objective: This study aims to explore the optimization of XGBoost algorithm parameters based on heuristic algorithms, with the goal of improving the classification accuracy of the ...