Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning

HIGHLIGHTS

• who: Junwei Wu from the Ping An Healthcare Technology, Beijing, China have published the article: Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning, in the Journal: (JOURNAL)
• what: The authors aimed to develop and validate a machine-learning model for the early prediction of moderate-to-severe condition of inhalation-induced ARDS. To overcome the above obstacles, the authors focused on inhalation-induced ARDS. Receiver operating characteristic (ROC) curves were generated to quantify the predictive accuracy of the models, and the area under the curve . . .
  

   

  

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