Predicting sepsis treatment decisions in the paediatric emergency department using machine learning: the AiSEPTRON study
Background Early identification of children at risk of sepsis in emergency departments (EDs) is crucial for timely treatment and improved outcomes. Existing risk scores and criteria for paediatric sepsis are not well-suited for early diagnosis in ED.Objective To develop and evaluate machine learning...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2025-05-01
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| Series: | BMJ Paediatrics Open |
| Online Access: | https://bmjpaedsopen.bmj.com/content/9/1/e003273.full |
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