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XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury

PaperCitations, authors & open-access status

XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 98 citations, 2020 year and gold oa status.

98
Citations
2020
Year
gold
OA Status

Related on ScholarIQ

Taro Ueno
Author
Neurotrauma Reports
Journal
Spinal Cord Injury Research
Topic
Spinal Cord Injury Research
Topic
Medical Imaging and Analysis
Topic
Spinal Fractures and Fixation Techniques
Topic
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