Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury

• Main Authors: SU, Bolan, DINH, Thien Anh, AMBASTHA, A. K., GONG, Tianxia, SILANDER, Tomi, LU, Shijian, LIM, C. C. Tchoyoson, PANG, Boon Chuan, LEE, Cheng Kiang, Tze-Yun LEONG, TAN, Chew Lim
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Brain CT Scan; Glasgow Outcome Scale; Logistic Regression; Sparse Representation Classifier; Computer Sciences; Health Information Technology; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2995; https://ink.library.smu.edu.sg/context/sis_research/article/3995/viewcontent/ICPR14_0571_FI.pdf
• Institution: Singapore Management University

Clinical features found in brain CT scan images are widely used in traumatic brain injury (TBI) as indicators for Glasgow Outcome Scale (GOS) prediction. However, due to the lack of automated methods to measure and quantify the CT scan image features, the computerized prediction of GOS in TBI has no...