A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants

HIGHLIGHTS

• who: Baiming Zou from the Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA have published the research: A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants, in the Journal: (JOURNAL)
• what: The authors aimed to develop a robust framework to model the complex association between clinical features and traumatic brain injury (TBI) risk in children under age two and identify significant features to derive clinical rules for triage decisions. The authors compare several commonly used machine_learning models, i.e., deep . . .
  

   

  

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