Sepsis biomarkers and diagnostic tools with a focus on machine learning

Over the last years, there have been advances in the use of data-driven techniques to improve the definition, early recognition, subtypes characterisation, prognostication and treatment personalisation of sepsis. Some of those involve the discovery or evaluation of biomarkers or digital signatures o...

Descripción completa

Detalles Bibliográficos
Autores principales: Komorowski, Matthieu, Green, Ashleigh, Tatham, Kate C., Seymour, Christopher, Antcliffe, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783125/
https://www.ncbi.nlm.nih.gov/pubmed/36470834
http://dx.doi.org/10.1016/j.ebiom.2022.104394

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783125/
https://www.ncbi.nlm.nih.gov/pubmed/36470834
http://dx.doi.org/10.1016/j.ebiom.2022.104394

Ejemplares similares