Development of predictive model for the neurological deterioration among mild traumatic brain injury patients using machine learning algorithms.

Journal: Neurosurgical review

PMID: 39196460

Abstract

BACKGROUND: Mild traumatic brain injury (mTBI) comprises a majority of traumatic brain injury (TBI) cases. While some mTBI would suffer neurological deterioration (ND) and therefore have poorer prognosis. This study was designed to develop the predictive model for the ND among mTBI using machine learning algorithms.

Authors

Baoyin Shan

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Ruoran Wang

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Jianguo Xu

Keywords

Adult Aged Algorithms Brain Concussion Brain Injuries, Traumatic Female Glasgow Coma Scale Humans Logistic Models Machine Learning Male Middle Aged Prognosis ROC Curve

External Resources

View on PubMed Access via DOI PubMed (39196460)

Development of predictive model for the neurological deterioration among mild traumatic brain injury patients using machine learning algorithms.

Abstract

Authors

Keywords

External Resources

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