Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients

Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients

Abstract This study aimed to preliminarily develop machine learning (ML) models capable of predicting the risk of device-associated infection and 30-day outcomes following invasive device procedures in intensive care unit (ICU) patients. The study utilized data from 8574 ICU patients who underwent i...

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Bibliographic Details
Main Authors: Xiang Su, Ling Sun, Xiaogang Sun, Quanguo Zhao
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Device-associated infection
Machine learning
Model prediction
Online Access:https://doi.org/10.1038/s41598-024-74585-0
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https://doi.org/10.1038/s41598-024-74585-0

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