A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency department

HIGHLIGHTS

• who: Michael S. A. Niemantsverdriet from the Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht have published the Article: A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency department, in the Journal: (JOURNAL)
• what: In this explorative study the authors show that the use of an EAC together with ML can identify new targets for future sepsis diagnosis research. For this study, the authors used ML and EAC generated labels to explore 95 variables from multiple types of variable groups; demographic and vital functions , laboratory tests . . .
  

   

  

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