Applications of machine learning in pediatric traumatic brain injury (pTBI): a systematic review of the literature

Objective Pediatric traumatic brain injury (pTBI) is a heterogeneous condition requiring the development of clinical decision rules (CDRs) for the optimal management of these patients. Machine learning (ML) is a novel artificial intelligence (AI) predictive tool with various applications in modern n...

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Veröffentlicht in:	Neurosurgical review 2024-10, Vol.47 (1), p.737, Article 737
Hauptverfasser:	Lampros, Marios, Symeou, Solonas, Vlachos, Nikolaos, Gkampenis, Athanasios, Zigouris, Andreas, Voulgaris, Spyridon, Alexiou, George A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Brain Injuries, Traumatic - diagnosis Child Humans Machine Learning Medicine Medicine & Public Health Neurosurgery
Online-Zugang:	Volltext
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