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Identification of the robust predictor for sepsis based on clustering analysis

Sepsis is a life-threatening disorder with high incidence and mortality rate. However, the early detection of sepsis is challenging due to lack of specific marker and various etiology. This study aimed to identify robust risk factors for sepsis via cluster analysis. The integrative task of the autom...

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Detalles Bibliográficos
Autores principales: Jang, Jae Yeon, Yoo, Gilsung, Lee, Taesic, Uh, Young, Kim, Juwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837750/
https://www.ncbi.nlm.nih.gov/pubmed/35149759
http://dx.doi.org/10.1038/s41598-022-06310-8