Analyzing historical and future acute neurosurgical demand using an ai-enabled predictive dashboard

HIGHLIGHTS

  • who: Anand S. Pandit from the University College have published the research work: Analyzing historical and future acute neurosurgical demand using an AI-enabled predictive dashboard, in the Journal: Scientific Reports Scientific Reports
  • what: The fact that all algorithms examined in the work had 12-week mean percentage error scores of less than 10 and 15% for testing and cross-validation respectively and that similar trajectories and volumes were forecasted out-of-sample, lends credibility to the predictions (Supplementary Fig 1).
  • how: In the absence of a dedicated checklist for time-series forecasting . . .

     

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