A systematic review of machine learning models for management, prediction and classification of ards

HIGHLIGHTS

• What: In this review the authors provide systematic description of different studies in the application of Machine Learning (ML) and artificial intelligence for management prediction and classification of The main focus of this review is to identify studies that has used machine_learning methods on the management, prognosis and diagnosis of patients with ARDS, reflect on usage of different database and data gathering method, algorithms and their effectiveness. The authors propose another validation step by seeking consensus with clinicians to validate the usability of future models.
• Who: Tu K. Tran from the Nuffield Division of Anaesthetics . . .
  

   

  

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