Comparison of different machine learning algorithms to classify patients suspected of having sepsis infection in the intensive care unit
Background: Sepsis is a life-threatening disease that occurs as a result of the body's response to an infection. This study aims to develop a classification model for predicting patients at risk of sepsis using clinical findings and demographic information. Methods: The study was conducted usin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914823000783 |