Sepsis Diagnosis and Treatment

This paper uses a high-performance computing agent-based model of sepsis to identify novel metrics for characterizing the behavioral landscape of sepsis and highlights challenges in clinical data sparseness and reproducibility.

This paper uses genetic algorithms on an agent-based model of the immune system to explore multi-targeted control strategies for sepsis, showing that multi-point and time-dependent interventions are necessary.

The paper evaluates the Angus ICD9-CM sepsis abstraction criteria, finding high specificity but moderate sensitivity in identifying suspected infections in emergency department patients.