ABSTRACT
This paper is aimed to study a method and feasibility of early diagnostic system using hypoxic ischemic encephalopathy (HIE) in the newborns. Fifteen non-invasive indicators with high sensitivity and specificity were selected for the early diagnosis of HIE on the basis of related researches from the literature and the researches in our laboratory. The diagnostic test was done with 140 cases with the HIE, using the fussy BP neural network experiment system. The initial results showed that the accuracy rate was 100% for the training set and 95% for the testing set, and the error rate was 5%. The data suggested that the fuzzy back-propagation neural networks, with the clinical comprehensive indicators, exhibited a high accuracy for the early diagnosis of HIE. This method provides an objective and convenient new way for the early clinical diagnosis of the HIE.
Subject(s)
Female , Humans , Infant, Newborn , Male , Algorithms , Diagnosis, Computer-Assisted , Methods , Early Diagnosis , Fuzzy Logic , Hypoxia-Ischemia, Brain , Diagnosis , Neural Networks, Computer , Pattern Recognition, Automated , Methods , Reproducibility of Results , Sensitivity and SpecificityABSTRACT
This paper is to provide a basis for the establishment of an early diagnostic system for hypoxic-ischemic encephalopathy (HIE) by performing segmentation and feature extraction of lesions on the MR images of neonatal babies with HIE. The segmentation on MR images of HIE based on the genetic algorithm (GA) combined with a pulse-coupled neural network (PCNN) were carried out. There were better segmentation results by using PCNN segmentation based on GA than PCNN segmentation with fixed parameters. The data suggested that a PCNN based on GA could provide effective assistance for diagnosis and research.
Subject(s)
Female , Humans , Infant, Newborn , Male , Algorithms , Hypoxia-Ischemia, Brain , Diagnosis , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Methods , Neural Networks, ComputerABSTRACT
Objective: To evaluate the reliability and validity of the inventory of experience of close relationship-revised version (ECR-R).Methods:286 college students were collected for testing the internal consistency and structure validity of the inventory. Test-retest reliability was founded in 31 students. Criteria validity was also studied in 32 cases with anxiety neurosis. Results: The Cronbach ? of the ECR-R and its two subscales (anxiety and avoidance) were 0.87, 0.86 and 0.81 respectively. The test-retest reliabilities of them were 0.75, 0.82 and 0.61 respectively. The two subscales had good discriminating ability and were confirmed by factor analysis, anxiety and avoidance could explain 21.28 and 11.20 of the total variance. Conclusion: The ECR-R is psychometrically acceptable and may be applied to study attachment of Chinese adolescents.