A probabilistic neural network for assessment of the vesicoureteral reflux's diagnostic factors validity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6352 LNCS, Issue PART 1, 2010, Pages 241-250

  Mantzaris, Dimitrios ^a   Anastassopoulos, George ^a   Iliadis, Lazaros ^a   Tsalkidis, Aggelos ^a   Adamopoulos, Adam ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION EFFICIENCY; CLINICAL EVALUATION; PROBABILISTIC NEURAL NETWORKS; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; RISK FACTORS; RISK PREDICTIONS; ROC ANALYSIS; SIGNIFICANT FACTORS;

RISK PERCEPTION;

NEURAL NETWORKS;

EID: 78049372083     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15819-3_32     Document Type: Conference Paper

References (20)

1. McGuire, W., Tandom, A., Allred, D., Chamnes, G., Clark, G.: How to Use Orognostic Factors in Axillary Node-negative Breast Cancer Patients. J. Natl. Cancer Inst. 82, 1006-1015 (1990)
2. Papik, K., Molnar, B., Schaefer, R., Dombovari, Z., Tulassay, Z., Feher, J.: Application of Neural Networks in Medicine - A Review. Med. Sci. Monit., 538-546 (1998)
3. Jigneshkumar, P., Ramesh, G.: Applications of Artificial Neural Networks in Medical Science. Current Clinical Pharmacology 2, 217-226 (2007)
4. Anagnostou, T., Remzi, M., Djavan, B.: Artificial Neural Networks for Decision-Making in Urologic Oncology. Reviews in Urology 5, 15-21 (2003)
5. Mantzaris, D., Anastassopoulos, G., Tsalkidis, A., Adamopoulos, A.: Intelligent Prediction of Vesicoureteral Reflux Disease. WSEAS Trans. Systems 9, 1440-1449 (2005)
6. Knudsona, M., Austina, C., Walda, M., Makhloufb, A., Niederb, C.: Computational Model for Predicting the Chance of Early Resolution in Children with Vesicoureteral Reflux. The Journal of Urology 178, 1824-1827 (2007)
7. Shiraishia, K., Matsuyamaa, H., Neppleb, K., Waldb, M., Niederbergerc, C.: Validation of a Prognostic Calculator for Prediction of Early Vesicoureteral Reflux Resolution in Children. The Journal of Urology 182, 687-691 (2009)
8. Papadopoulos, H., Gammerman, A., Vovk, V.: Confidence Predictions for the Diagnosis of Acute Abdominal Pain. In: AIAI 2009, pp. 175-184 (2009)
9. Mantzaris, D., Anastassopoulos, G., Iliadis, L., Adamopoulos, A.: An Evolutionary Technique for Medical Diagnosis Risk Factor Selection. IFIP International Federation for Information Processing 296, 195-203 (2009)
10. Mantzaris, D., Anastassopoulos, G., Lymperopoulos, K.: Medical Disease Prediction Using Artificial Neural Networks. In: 8th IEEE International Conference on BioInformatics and Bio. Engineering (2008)
11. Tjoa, M., Dutt, D., Lim, Y., Yau, B., Kugean, R., Krishnan, S., Chan, K.: Artificial Neural Networks for the Classification of Cardiac Patient States Using ECG and Blood Pressure Data. In: Proceedings of the Seventh Australian and New Zealand Intelligent Systems Conference, pp. 323-327 (2001)
12. Mantzaris, D., Anastassopoulos, G., Adamopoulos, A., Stephanakis, I., Kambouri, K., Gardikis, S.: Selective Clinical Estimation of Childhood Abdominal Pain Based on Pruned Artificial Neural Networks. In: Proceedings of the 3rd WSEAS International Conference on Cellular and Molecular Biology, Biophysics and Bioengineering, pp. 50-55 (2007)
13. Streiner, D., Cairney, J.: What's Under the ROC? An Introduction to Receiver Operating Characteristics Curves. The Canadian Journal of Psychiatry 52, 121-128 (2007)
14. Nelson, C., Koo, H.: Vesicoureteral Reflux (2005), http://www.emedicine. com/ped/topic2750.htm
15. Youngerman-Cole, S.: Vesicoureteral Reflux (2004), http://www.uhseast. com/147424.cfm
16. Thompson, M., Simon, S., Sharma, V., Alon, U. S.: Timing of Follow-Up Voiding Cystourethrogram in Children with Primary Vesicoureteral Reflux: Development and Application of a Clinical Algorithm. Pediatrics 115, 426-434 (2005)
17. Orr, R.: Use of a Probabilistic Neural Network to Estimate the Risk of Mortality after Cardiac Surgery. J. Medical Decision Making 17, 178-185 (1997)
18. Parzen, E.: On Estimation of a Probability Density Function and Mode. Annals of Mathematical Statistics 33, 1065-1076 (1962)
19. Iliadis, L.: Intelligent Information Systems and Applications in Risk Estimation. Stamoulis Publishing, Thessaloniki (2007)
20. Howard, D., Mark, B.: Neural Network Toolbox User's Guide, The Math Works, Inc. (2008), http://www.mathworks.com/access/helpdesk/help/pdf-doc/nnet/ nnet.pdf