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Soft-voting classifier for outcome prediction in traumatic brain injury patients with clear consciousness: model

Kazuya Matsuo1,2, Hideo Aihara3, Yoshie Hara4

  • 1Department of Medical Device Engineering, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Hyogo, Japan. kkmatsuo@outlook.jp.

Neurosurgical Review
|December 21, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Glasgow outcome scaleMachine learning algorithmsMachine prediction methodsMild traumatic brain injury

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Traumatic Brain Injury l: Introduction01:28

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DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...

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