Sepsis is a serious condition that threatens millions of patients. It is the body’s extreme responses to a bacterial infection and causes damage to the organs. There needs a system that detects the onset of sepsis early urgently.

Through monitoring vital signs of at-risk patients, an automated system for detecting sepsis in the early stages can be developed. By applying machine learning to analyze data collected by commercial devices,  the system can produce a prediction for sepsis.


  • Bochong Chen
  • Junjun Chen
  • Bidyut Mani
  • Antara Raisa
  • Xintong Tong


  • Charbel Rizk


  • Dr. Jim Fackler

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