Early Detection of Sepsis in the Emergency Department using Dynamic Bayesian Networks

@article{Nachimuthu2012EarlyDO,
  title={Early Detection of Sepsis in the Emergency Department using Dynamic Bayesian Networks},
  author={Senthil K. Nachimuthu and Peter J. Haug},
  journal={AMIA ... Annual Symposium proceedings. AMIA Symposium},
  year={2012},
  volume={2012},
  pages={653-62}
}
Sepsis is a systemic inflammatory state due to an infection, and is associated with very high mortality and morbidity. Early diagnosis and prompt antibiotic and supportive therapy is associated with improved outcomes. Our objective was to detect the presence of sepsis soon after the patient visits the emergency department. We used Dynamic Bayesian Networks, a temporal probabilistic technique to model a system whose state changes over time. We built, trained and tested the model using data of 3… CONTINUE READING
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