RAMA: implementing Machine Learning to develop mortality risk prediction models for NICU patients with Acute Kidney Injury

Key Points

• The research aims to develop models for predicting mortality risk in neonates with acute kidney injury using machine learning techniques.
• Implemented a tree-based decision-making algorithm
• Analyzed data from NICU patients
• Focused on predicting mortality risk associated with AKI
• The algorithm accurately assesses mortality risk in neonates
• Demonstrated effectiveness in identifying high-risk patients