Identification of patients with and without minimal hepatic encephalopathy based on gray matter volumetry using a support vector machine learning algorithm

Lignende værker

• Altered Topological Properties of Gray Matter Structural Covariance Networks in Minimal Hepatic Encephalopathy
  af: Zou, Tian-Xiu, et al.
  Udgivet: (2018)
• Reduced Cortical Complexity in Cirrhotic Patients with Minimal Hepatic Encephalopathy
  af: Chen, Qiu-Feng, et al.
  Udgivet: (2020)
• Machine Learning Classification of Cirrhotic Patients with and without Minimal Hepatic Encephalopathy Based on Regional Homogeneity of Intrinsic Brain Activity.
  af: Qiu-Feng Chen, et al.
  Udgivet: (2016-01-01)
• Machine Learning Classification of Cirrhotic Patients with and without Minimal Hepatic Encephalopathy Based on Regional Homogeneity of Intrinsic Brain Activity
  af: Chen, Qiu-Feng, et al.
  Udgivet: (2016)
• Gray Matter Volume and Functional Connectivity in Hypochondriasis: A Magnetic Resonance Imaging and Support Vector Machine Analysis
  af: Shen, Zhe, et al.
  Udgivet: (2020)