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...
Main Authors: | Lina Zhao, Yunying Wang, Zengzheng Ge, Huadong Zhu, Yi Li |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-11-01
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Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2021.739265/full |
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