Artificial intelligence-based model for automatic real-time and noninvasive estimation of blood potassium levels in pediatric patients
Background: An abnormal variation in blood electrolytes, such as potassium, contributes to mortality in children admitted to intensive care units. Continuous and real-time monitoring of potassium serum levels can prevent fatal arrhythmias, but this is not currently practical. The study aims to use m...
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| Main Authors: | , , , , |
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| Format: | Book |
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Wolters Kluwer Medknow Publications,
2024-07-01T00:00:00Z.
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