slight hepatic encephalopathy brain image hypergraph processing method

• Main Authors: CHENG YUE, LIU FEI, ZHANG XIAODONG, SHEN WEN, ZHANG GAOYAN
• Format: Patent
• Language: Chinese; English
• Published: 30.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; HANDLING RECORD CARRIERS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SURGERY

The invention discloses a slight hepatic encephalopathy brain image hypergraph processing method, which comprises the following steps of: collecting resting-state fMRI data of a subject, preprocessing, and taking brain regions marked by an AAL template as regions of interest to obtain an average time sequence of each brain region; constructing two different levels of function connection super networks by using the time sequence of each brain region of each subject, and extracting feature data; constructing a machine learning classification model and classifying the extracted feature data by using the machine learning classification model; and adjusting and optimizing parameters of the function connection super network and the machine learning classification model by utilizing a grid search mode, and carrying out classification processing on the brain image hypergraph by adopting the optimized function connection super network and the machine learning classification model. According to the method, more complex