Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset

HIGHLIGHTS

• who: Sudarsan Sadasivuni from the University at have published the Article: Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset, in the Journal: Scientific Reports Scientific Reports
• what: Experiments in the study were carried out following the World Medical Association (WMA) developed ethical protocol for conducting ethical medical research. The authors developed an innovative fusion AI solution for sepsis prediction and demonstrate the performance on varying prediction time-points.
• how: For the further experiments the authors used random forest classifier since it provides . . .
  

   

  

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