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, retrie...
| Hoofdauteurs: | , , , , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
Frontiers Media S.A.
2021-11-01
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| Reeks: | Frontiers in Computational Neuroscience |
| Onderwerpen: | |
| Online toegang: | https://www.frontiersin.org/articles/10.3389/fncom.2021.739265/full |