A MACHINE LEARNING MODEL DERIVED FROM ANALYSIS OF TIME-COURSE GENE-EXPRESSION DATASETS REVEALS TEMPORALLY STABLE GENE MARKERS PREDICTIVE OF SEPSIS MORTALITY

Sepsis is associated with significant mortality and morbidity among critically ill patients admitted to intensive care units and represents a major health challenge globally. Given the significant clinical and biological heterogeneity among patients and the dynamic nature of the host immune response...

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Detalles Bibliográficos
Autores principales: Huang, Min, Atreya, Mihir R., Holder, Andre, Kamaleswaran, Rishikesan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Clinical Aspects (Human Subjects)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662606/
https://www.ncbi.nlm.nih.gov/pubmed/37752077
http://dx.doi.org/10.1097/SHK.0000000000002226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662606/
https://www.ncbi.nlm.nih.gov/pubmed/37752077
http://dx.doi.org/10.1097/SHK.0000000000002226

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