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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Healthcare
2022
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| Materias: | |
| 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 |