Machine learning for real-time aggregated prediction of hospital admission for emergency patients

HIGHLIGHTS

• who: Zella King from the Published in partnership with Seoul National University Bundang Hospital have published the article: Machine learning for real-time aggregated prediction of hospital admission for emergency patients, in the Journal: (JOURNAL) of 13/Dec/2019
• what: As part of the project, the authors developed an application that formats and sends an email to the bed planners at the four report times. The work provides a practical example of a ML-based modelling approach that is designed and fit for the purpose of informing real-time operational management of emergency admissions. The . . .
  

   

  

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