Using machine learning to predict mortality in patients with respiratory failure in the intensive care unit (ICU) (IMAGE)

Journal of Intensive Medicine

Using machine learning to predict mortality in patients with respiratory failure in the intensive care unit (ICU)

Caption

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients with sepsis complicated by acute respiratory failure. Using routinely collected clinical variables from the first 24 hours after ICU admission, the model demonstrated stable predictive performance in large critical care databases, with potential value for early risk stratification and individualized treatment decision-making.

Credit

Gustavo Basso from Wikimedia Commons Image Source: https://openverse.org/image/1d56faf2-4917-4c13-a1ff-3292459688ee?q=patient+in+ICU&p=19

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