Improving machine learning algorithm for risk of early pressure injury prediction in admission patients using probability feature aggregation
Objective Pressure injuries (PIs) pose a significant concern in hospital care, necessitating early and accurate prediction to mitigate adverse outcomes. Methods The proposed approach receives multiple patients records, selects key features of discrete numerical based on their relevance to PIs, and t...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-03-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251323300 |
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