Computed tomography angiography-based analysis of high-risk intracerebral haemorrhage patients by employing a mathematical model

Computed tomography angiography-based analysis of high-risk intracerebral haemorrhage patients by employing a mathematical model

Abstract Background Haemorrhagic stroke accounts for approximately 31.52% of all stroke cases, and the most common origin is hypertension. However, little is known about the method to identify high-risk populations of hypertensive intracerebral haemorrhage. Results The results showed that the angle...

Full description

Bibliographic Details
Main Authors: Le Zhang, Jin Li, Kaikai Yin, Zhouyang Jiang, Tingting Li, Rong Hu, Zheng Yu, Hua Feng, Yujie Chen
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Bioinformatics
Subjects:
Intracerebral haemorrhage
Computed tomography angiography
Ensemble learning
Lenticulostriate arterial, data mining
Online Access:http://link.springer.com/article/10.1186/s12859-019-2741-5

Internet

http://link.springer.com/article/10.1186/s12859-019-2741-5

Similar Items