Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements

BACKGROUND: Sepsis is a highly lethal and heterogeneous disease. Utilization of an unsupervised method may identify novel clinical phenotypes that lead to targeted therapies and improved care. METHODS: Our objective was to derive clinically relevant sepsis phenotypes from a multivariate panel of phy...

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Detalles Bibliográficos
Autores principales: Ding, Menghan, Luo, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033653/
https://www.ncbi.nlm.nih.gov/pubmed/33836745
http://dx.doi.org/10.1186/s12911-021-01460-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033653/
https://www.ncbi.nlm.nih.gov/pubmed/33836745
http://dx.doi.org/10.1186/s12911-021-01460-7

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