An interpretable machine learning model for real-time sepsis prediction based on basic physiological indicators.
Journal:
European review for medical and pharmacological sciences
Published Date:
May 1, 2023
Abstract
OBJECTIVE: In view of the important role of risk prediction models in the clinical diagnosis and treatment of sepsis, and the limitations of existing models in terms of timeliness and interpretability, we intend to develop a real-time prediction model of sepsis with high timeliness and clinical interpretability.