The authors propose and validate a tree-based ensemble model for financial distress prediction which is demonstrated to outperform comparative models.

APG has improved prediction accuracy for G10 currency movements after adopting decision tree-based machine learning.

Businesses are using digital mapping technology to understand where and when the supply chain will be affected by climate change.

Conclusion We developed an oncology acute care risk prediction model using a risk index–based scoring system, the REDUCE (Reducing ED Utilization in the Cancer Experience) score. Further efforts to ...

AI enhances business risk management and decision-making. It allows insurers to analyze vast datasets for accurate risk ...

This pipeline provides accurate risk assessments and actionable insights tailored to individuals, empowering clinicians and patients to make informed screening decisions. The differential risk ...

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...