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Updated: Feb 19, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

Interpretable machine learning-based real-time sepsis diagnosis

Fahim Mahmud¹, Muhammad Quamruzzaman¹, Abdurrashid Ibrahim Sanka²

¹Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh.

Scientific Reports

|February 17, 2026

Summary

No abstract available in PubMed .

Keywords:

Gradient boosting model Locally Interpretable Model-agnostic Explanations (LIME)National Early Warning System (NEWS)Non-Overlapping Subset Ensemble (NOSE)Sepsis Shapley Additive Explanations (SHAP)Vital signs quick Sequential Organ Failure Assessment (qSOFA)

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