Application of machine learning to predict the outcome of pediatric traumatic brain injury
Purpose: Traumatic brain injury (TBI) generally causes mortality and disability, particularly in children. Machine learning (ML) is a computer algorithm, applied as a clinical prediction tool. The present study aims to assess the predictability of ML for the functional outcomes of pediatric TBI. Met...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Accès en ligne: | https://doaj.org/article/8206904b5cd948df92003fa45753e150 |
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