Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy
Objective: Our study aimed to identify predictors as well as develop machine learning (ML) models to predict the risk of 30-day mortality in patients with sepsis-associated encephalopathy (SAE). Materials and methods: ML models were developed and validated based on a public database named Medical In...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |