Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction

A new machine learning model, SXI++ LNM, utilizing deep neural networks, significantly improves sepsis prediction accuracy, achieving an AUC of 0.99, with a precision of 99.9% and an accuracy of 99.99%. The model demonstrates high robustness across various datasets, outperforming existing methods in clinical scenarios for early sepsis detection.