Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis.
Background: Sepsis is a life-threatening disease with a poor prognosis, and metabolic disorders play a crucial role in its development. This study aims to identify key metabolites that may be associated with the accurate diagnosis and prognosis of sepsis. Methods: Septic patients and healthy individ...
| Publicado en: | BMC Anesthesiology Vol. 23; no. 1; pp. 1 - 14 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
BioMed Central
11/9/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |