A Systematic Review Of Machine Learning Models For Sepsis Prediction: An Appraise-Ai Approach

Key Points

• The review aims to assess the effectiveness and quality of machine learning models in predicting sepsis.
• Conducted a systematic review of existing literature on machine learning models for sepsis prediction.
• Evaluated the quality and robustness of the methodologies used in the studies.
• Identified areas for improvement in data integrity and algorithm development.
• Found significant variability in study quality and methodology.
• Highlighted the need for enhanced data quality to improve prediction accuracy.
• Suggested the necessity of multi-center prospective studies for better model validation.

Abstract