Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemorrhage

被引:0
作者
Weixiong Zeng [1 ]
Jiaying Chen [2 ]
Linling Shen [1 ]
Genghong Xia [3 ]
Jiahui Xie [1 ]
Shuqiong Zheng [1 ]
Zilong He [1 ]
Limei Deng [4 ]
Yaya Guo [2 ]
Jingjing Yang [2 ]
Yijun Lv [2 ]
Genggeng Qin [2 ]
Weiguo Chen [2 ]
Jia Yin [2 ]
Qiheng Wu [2 ]
机构
[1] Southern Medical University,Department of Neurology, Nanfang Hospital
[2] Nanfang Hospital,Department of Radiology
[3] Southern Medical University,Comprehensive Medical Treatment Ward, Nanfang Hospital
[4] Southern Medical University,Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital
[5] Southern Medical University,undefined
关键词
Intracerebral hemorrhage; Neurological deterioration; Modified rankin scale; Machine learning; Radiomics; Computed tomography;
D O I
10.1186/s12880-025-01717-x
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