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Explainable machine learning to identify patients at risk of developing hospital acquired infections

2024-11-13

Abstract excerpt

Hospital-acquired infections (HAIs) contribute to increased mortality rates and extended hospital stays. Patients with complex neurological impairments, secondary to conditions such as acquired brain injury or progressive degenerative conditions are particularly prone to HAIs and often have the worst resulting clinical outcomes and highest associated cost of care. Research indicates that the prompt identification...

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Literature Corpus work
348ab725-201a-52bc-baec-a9e65c7cbe96
DOI
10.1101/2024.11.13.24317108
Open publication

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Explainable machine learning to identify patients at risk of developing hospital acquired infectionsDOI 10.1101/2024.11.13.24317108
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