Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis

OBJECTIVES: To investigate the classification performance of support vector machine in mild traumatic brain injury (mTBI) from normal controls. METHODS: Twenty-four mTBI patients (15 males and 9 females; mean age, 38.88 ± 13.33 years) and 24 age and sex-matched normal controls (13 males and 11 femal...

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Detalles Bibliográficos
Autores principales: Luo, Xiaoping, Lin, Dezhao, Xia, Shengwei, Wang, Dongyu, Weng, Xinmang, Huang, Wenming, Ye, Hongda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616658/
https://www.ncbi.nlm.nih.gov/pubmed/34840627
http://dx.doi.org/10.1155/2021/3015238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616658/
https://www.ncbi.nlm.nih.gov/pubmed/34840627
http://dx.doi.org/10.1155/2021/3015238

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