Clinical subtypes identification and feature recognition of sepsis leukocyte trajectories based on machine learning
Abstract Sepsis is a highly variable condition, and tracking leukocyte patterns may offer insights for tailored treatment and prognosis. We used the MIMIC-IV database to analyze patients diagnosed with Sepsis-3 within 24 h of ICU admission. Latent class mixed models (LCMM) were applied to leukocyte...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2025-04-01
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| Seria: | Scientific Reports |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1038/s41598-025-96718-9 |
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