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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| Main Authors: | Xiang Su, Ling Sun, Xiaogang Sun, Quanguo Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-10-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-74585-0 |
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