The use of fuzzy backpropagation neural networks for the early diagnosis of hypoxic ischemic encephalopathy in newborns

Journal of Biomedicine and Biotechnology

Volumn 2011, Issue , 2011, Pages

  Li, Liu ^a   Liqing, Huo ^a   Hongru, Lu ^a   Feng, Zhang ^a   Chongxun, Zheng ^a   Pokhrel, Shami ^a   Jie, Zhang ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DIAGNOSTIC ERROR; EARLY DIAGNOSIS; FEASIBILITY STUDY; FUZZY LOGIC; HUMAN; HYPOXIC ISCHEMIC ENCEPHALOPATHY; NEWBORN DISEASE; NON INVASIVE PROCEDURE; RANDOMIZED CONTROLLED TRIAL; RECOGNITION; SENSITIVITY AND SPECIFICITY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; DIAGNOSTIC PROCEDURE; HEALTH SURVEY; METHODOLOGY; NEWBORN; REPRODUCIBILITY;

ALGORITHMS; DIAGNOSTIC TECHNIQUES AND PROCEDURES; EARLY DIAGNOSIS; FUZZY LOGIC; HEALTH STATUS INDICATORS; HUMANS; HYPOXIA-ISCHEMIA, BRAIN; INFANT, NEWBORN; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 80052688859     PISSN: 11107243     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2011/349490     Document Type: Article

References (13)

1. Zhu D. Q., Shi H., The Principle and Application of Artificial Neural Network 2006 Beijing, China Science Press
2. Er M. J., Liao J., Lin J., Fuzzy neural networks-based quality prediction system for sintering process IEEE Transactions on Fuzzy Systems 2000 8 3 314 324
3. Chiu J. S., Wang Y. F., Su Y. C., Wei L. H., Liao J. G., Li Y. C., Artificial neural network to predict skeletal metastasis in patients with prostate cancer Journal of Medical Systems 2009 33 2 91 100
4. Han L. Q., The Theory, Design and Application of Artificial Neural Network 2002 Beijing, China Chemical Industry Press
5. Harrison R. F., Kennedy R. L., Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation Annals of Emergency Medicine 2005 46 5 431 439 (Pubitemid 41552393)
6. Liu L., Zhou H.-Y., Feng Z. W., He L., Su Z. Y., Urinary S100B protein and lactate/creatinine ratio measurements: a tool for the early identification of neonatal hypoxic-ischemic encephalopathy Chinese Journal of Pediatrics 2005 43 8 564 567
7. Liu L., Zhou H.-Y., He L., Song J.-W., Nie W.-X., Su Z.-Y., Measuring Urinary S100B protein levels and lactic acid/creatinine ratio for early identification of neonatal hypoxic-ischemic encephalopathy (HIE) World Journal of Pediatrics 2006 2 4 270 275
8. Tian T., Liu L., Zhou H.-Y., The value of urinary S100B protein measurement and urinary lactate/creatinine ratio in predicting the prognosis of full term infants with hypoxic-ischemic encephalopathy Chinese Journal of Neonatology 2008 23 8 141 144
9. Liu L., He L., Zheng C. X., Application of hydrogen proton magnetic resonance spectrum in hypoxic-ischemic encephalopathy in full-term neonates Chinese Journal of Pediatrcs 2008 46 5 384 385
10. Shen Y. H., The applied of research neural networks in medical diagnosis. Full-text databaseof China's outstanding, M.S. thesis 2007
11. Xu D. J., Zhou Y. D., Sang Y. L., Research of fuzzy control based on artificial neural network in medicine diagnostic system Chinese Archives of Traditional Chinese Medicine 2005 23 5 781 783
12. Wan X. F., Xu L. P., Wu Y. J., The application of fuzzy neural network to lung cancer diagnosis Microcomputer Information 2009 25 2 295 297
13. Schwefel H. P., Numerical Optimization of Computer Model 1981 Chichester, UK John Wiley Sons