Development and external validation of machine learning models for early prediction of delirium risk in patients with severe pneumonia
Researchers have developed and validated a machine learning model to predict delirium risk in patients with severe pneumonia. The study utilized data from the MIMIC-IV database and external validation to identify the most effective predictive algorithms.
Why it matters
Early prediction of delirium in intensive care can significantly improve patient outcomes and clinical management strategies.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
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