A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from covid-19

HIGHLIGHTS

• who: Itai Bendavid from the Department have published the article: A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19, in the Journal: Scientific Reports Scientific Reports
• what: The authors focused on the cohort of acute hypoxemic respiratory failure patients, as it is the hallmark of respiratory failure in COVID-19 patients. | Vol:.(1234567890) 12:10573 | models were validated on patients from Rabin medical center. The aim of this adaptive two-step method was to mitigate the difference in progression towards respiratory failure and . . .
  

   

  

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