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...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Portfolio
2025-04-01
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| Saila: | Scientific Reports |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1038/s41598-025-96718-9 |
| Etiketak: |
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