Application of Machine Learning for Clinical Subphenotype Identification in Sepsis

INTRODUCTION: Sepsis is a heterogeneous clinical syndrome. Identification of sepsis subphenotypes could lead to allowing more precise therapy. However, there is a lack of models to identify the subphenotypes in such patients. Thus, we aimed to identify possible subphenotypes and compare the clinical...

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Detalles Bibliográficos
Autores principales: Hu, Chang, Li, Yiming, Wang, Fengyun, Peng, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617989/
https://www.ncbi.nlm.nih.gov/pubmed/36006560
http://dx.doi.org/10.1007/s40121-022-00684-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617989/
https://www.ncbi.nlm.nih.gov/pubmed/36006560
http://dx.doi.org/10.1007/s40121-022-00684-y

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