Personalized sepsis mortality prediction: An interpretable machine learning nomogram

Key Points

• Machine learning can accurately predict mortality in sepsis, enabling better patient management.
• The nomogram integrates various biomarkers to personalize risk assessments for patients with sepsis.
• Risk assessment methods using machine learning may improve clinical decision-making in critical care settings.
• Utilizing a machine learning approach highlights the importance of personalized interventions for better outcomes.