Image 2_A machine learning model to predict neurological deterioration after mild traumatic brain injury in older adults.jpeg

Objective<p>Neurological deterioration after mild traumatic brain injury (TBI) has been recognized as a poor prognostic factor. Early detection of neurological deterioration would allow appropriate monitoring and timely therapeutic interventions to improve patient outcomes. In this study, we d...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Daisu Abe (20498225) (author)
مؤلفون آخرون:	Motoki Inaji (6734660) (author), Takeshi Hase (257672) (author), Eiichi Suehiro (6104819) (author), Naoto Shiomi (20498228) (author), Hiroshi Yatsushige (20498231) (author), Shin Hirota (19746329) (author), Shu Hasegawa (20498234) (author), Hiroshi Karibe (20498237) (author), Akihiro Miyata (20498240) (author), Kenya Kawakita (4709071) (author), Kohei Haji (20498243) (author), Hideo Aihara (20498246) (author), Shoji Yokobori (8600112) (author), Takeshi Maeda (304955) (author), Takahiro Onuki (20498249) (author), Kotaro Oshio (20498252) (author), Nobukazu Komoribayashi (20498255) (author), Michiyasu Suzuki (436074) (author), Taketoshi Maehara (3573644) (author)
منشور في:	2025
الموضوعات:	Neurology and Neuromuscular Diseases mild traumatic brain injury neurological deterioration machine learning predictive model XGBoost
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Image 2_A machine learning model to predict neurological deterioration after mild traumatic brain injury in older adults.jpeg

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