ROC analysis for fetal hypoxia problem by artificial neural networks

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3070, Issue , 2004, Pages 1026-1030

  Özyilmaz, Laie ^a   Yildirim, Tülay ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BLOOD; DIAGNOSIS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; PROBLEM SOLVING;

ADAPTIVE LEARNING; FETAL HYPOXIA PROBLEMS; LEAST SQUARE ALGORITHMS; MULTILAYER PERCEPTRON (MLP); RADIAL BASIS FUNCTIONS;

FETAL MONITORING;

EID: 9444248759     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24844-6_160     Document Type: Conference Paper

References (6)

1. Nicolaides K., Rizzo G., Hecker K. and Ximenes R.: Doppler in Obstetrics, http://www.centrus.com.br/DiplomaFMF/SeriesFMF/doppler/capitulos-html (2002)
2. Washington J.: Fetal and Neonatal Hypoxia, available in http://www.continuing education.com/resptherapist/fetalnh/index.html (2004)
3. Umbilical Artery Doppler Velocimetry, available in http://www.medem.com/ MedLB/ (2004)
4. Provost F., Fawcett T., Kohavi R.: The Case Against Accuracy Estimation for Comparing Induction Algorithms, Proc. 15th International Conf. on Machine Learning (Madison), (1998) 445-553
5. Sboner A., Eecher G., Blanzieri E., Bauer P., Cristofolini M., Zumiani G., and Forti S.: A multiple classifier system for early melanoma diagnosis. AI in Medicine, (2003) Vol.27: 29-44.
6. Özyilmaz L., Yildirim T., Köklü K.: Comparison of neural algorithms for function approximation, Pakistan Journal of Applied Sciences, (2002) Vol.2 (2): 288-294