title: The use of fuzzy backpropagation neural networks for the early diagnosis of hypoxic ischemic encephalopathy in newborns.
abstract: OBJECTIVE
  To establish an early diagnostic system for hypoxic ischemic encephalopathy (HIE) in newborns based on artificial neural networks and to determine its feasibility.
  
  
  METHODS
  Based on published research as well as preliminary studies in our laboratory, multiple noninvasive indicators with high sensitivity and specificity were selected for the early diagnosis of HIE and employed in the present study, which incorporates fuzzy logic with artificial neural networks.
  
  
  RESULTS
  The analysis of the diagnostic results from the fuzzy neural network experiments with 140 cases of HIE showed a correct recognition rate of 100% in all training samples and a correct recognition rate of 95% in all the test samples, indicating a misdiagnosis rate of 5%.
  
  
  CONCLUSIONS
  A preliminary model using fuzzy backpropagation neural networks based on a composite index of clinical indicators was established and its accuracy for the early diagnosis of HIE was validated. Therefore, this method provides a convenient tool for the early clinical diagnosis of HIE.
authors.affiliation: Department of Neonatology, Hospital of the Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China. nellie918@yahoo.com.cn
authors.forename: Liu
authors.initials: L
authors.lastname: Li
authors.forename: Huo
authors.initials: H
authors.lastname: Liqing
authors.forename: Lu
authors.initials: L
authors.lastname: Hongru
authors.forename: Zhang
authors.initials: Z
authors.lastname: Feng
authors.forename: Zheng
authors.initials: Z
authors.lastname: Chongxun
authors.forename: Shami
authors.initials: S
authors.lastname: Pokhrel
authors.forename: Zhang
authors.initials: Z
authors.lastname: Jie
mesh_terms: D000465:Algorithms; D019937:Diagnostic Techniques and Procedures; D042241:Early Diagnosis; D017143:Fuzzy Logic; D006305:Health Status Indicators; D006801:Humans; D020925:Hypoxia-Ischemia, Brain / Q000175:diagnosis*; D007231:Infant, Newborn; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity