Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion

被引：0
作者：
Chongfeng Duan
Fang Liu
Song Gao
Jiping Zhao
Lei Niu
Nan Li
Song Liu
Gang Wang
Xiaoming Zhou
Yande Ren
Wenjian Xu
Xuejun Liu
机构：
[1] The Affiliated Hospital of Qingdao University,Department of Radiology
[2] The Affiliated Hospital of Qingdao University,Department of Information Management
来源：
Clinical Neuroradiology | 2022年 / 32卷
关键词：
Artificial intelligence; Computed tomography; Hematoma; Algorithms; Decision curve analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：215 / 223
页数：8
相关论文
共 250 条
  • [1] Falcone GJ(2013)Predictors of hematoma volume in deep and lobar supratentorial intracerebral hemorrhage JAMA Neurol 70 988-994
  • [2] Biffi A(2001)Spontaneous intracerebral hemorrhage N Engl J Med 344 1450-1460
  • [3] Brouwers HB(2010)Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis Lancet Neurol 9 167-176
  • [4] Anderson CD(2014)Predicting hematoma expansion after primary intracerebral hemorrhage JAMA Neurol 71 158-164
  • [5] Battey TW(2012)Hematoma growth and outcomes in intracerebral hemorrhage the INTERACT1 study Neurology 79 314-319
  • [6] Ayres AM(2011)Defining hematoma expansion in intracerebral hemorrhage: relationship with patient outcomes Neurology 76 1238-1244
  • [7] Vashkevich A(2012)Complications of intracerebral haemorrhage Lancet Neurol 11 101-118
  • [8] Schwab K(2014)Predicting hematoma expansion after primary intracerebral hemorrhage JAMA Neurol 71 158-164
  • [9] Rost NS(2017)Island sign: An imaging predictor for early hematoma expansion and poor outcome in patients with intracerebral hemorrhage Stroke 48 3019-3025
  • [10] Goldstein JN(2015)Blend sign on computed tomography: Novel and reliable predictor for early hematoma growth in patients with intracerebral hemorrhage Stroke 46 2119-2123
12345678910