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Construction of an Interpretable Model of the Risk of Post-Traumatic Brain Infarction Based on Machine Learning Algorithms: A Retrospective Study
Published 2025-01-01“…Shaoji Li,1,* Hongjian Li,2,* Baofang Wu,1,* Rujun Pan,3 Yuqi Liu,4 Jiayin Wang,1 De Wei,3 Hongzhi Gao1 1Department of Neurosurgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, People’s Republic of China; 2School of Medical Imaging, North Sichuan Medical College, Nanchong, 634700, People’s Republic of China; 3Department of Neurosurgery, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350001, People’s Republic of China; 4Department of Intensive Care Unit, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, People’s Republic of China*These authors contributed equally to this workCorrespondence: De Wei; Hongzhi Gao, Email weidele@fjmu.edu.cn; gaohongzhi@fjmu.edu.cnBackground: Post-traumatic cerebral infarction (PTCI) is a severe complication resulting from traumatic brain injury (TBI), which can lead to permanent neurological damage or death. …”
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Research on the mobile CDN architecture and the resource scheduling method
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Separated multi streams transmitting method based on SIP+P2P system
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Seismic Behaviour of Cast-In-Situ Phosphogypsum-Reinforced Concrete Grid Frame Composite Walls
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