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Mechanical Learning for Prediction of Sepsis-Associated Encephalopathy
Objective: The study aims to develop a mechanical learning model as a predictive model for predicting the appearance of sepsis-associated encephalopathy (SAE). Materials and Methods: The prediction model was developed in a primary cohort of 2,028 sepsis patients from June 2001 to October 2012, retri...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636425/ https://www.ncbi.nlm.nih.gov/pubmed/34867250 http://dx.doi.org/10.3389/fncom.2021.739265 |