A neural network based classifier for acute meningitis

8th Seminar on Neural Network Applications in Electrical Engineering, Neurel-2006 Proceedings

Volumn , Issue , 2006, Pages 161-165

  Revett, Kenneth ^a  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

Author keywords

Data discretisation; Learning vector quantisation neural networks; Meningitis; Rough sets

Indexed keywords

BACTERIOLOGY; CLASSIFICATION (OF INFORMATION); HEALTH; IMAGE CLASSIFICATION; PAINTING;

ANTIBIOTIC TREATMENT; CEREBRO-SPINAL FLUID (CSF); CLASSIFICATION ACCURACIES; CLINICAL ASSESSMENTS; DISCRETISATION; LEARNING VECTOR QUANTIFICATION (LVQ) ALGORITHM; NEURAL NETWORK APPLICATIONS; PREDICTIVE ACCURACY; VECTOR QUANTISATION; VIRAL MENINGITIS;

NEURAL NETWORKS;

EID: 46749101811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NEUREL.2006.341202     Document Type: Conference Paper

References (8)

1. Nigrovi, L.E., Kuppermann, N., & Malley, R. Development and validation of a Multivariate Predictive Model to Distinguish Bacterial From Aseptic Meningitis in Children in the Post-Haemophilus influenza Era, Pediatrics, vol 110(40, October, 2002 pp 712-719.
2. Negrini, B., Kelleher, K.J., & Wald, E.E., Cerebrospinal Fluid Findings in Aseptic Versus Bacterial Meningitis, Pediatrics, Vol 105(2), February, 2000, pp 316-319.
3. Spanos, A., Harrell, F.E., & Durack, D.T., Differntial Diagnosis of Acute Meningitis, JAMA, Vol 262(19), November 17, 1989, pp 2700-2707.
4. Bonsu B.K., & Harper, M.B., Differentiating Acute Bacterial Meningitis From Acute Viral Meningitis Among Children With Cerebrospinal Fluid Pleocytosis: A Multivariable Regression Model., Pediatric Infectious Disease Journal. 23(6):511-517, June 2004.
5. Wang, H., Azuaje, F., & Bclack, N. An integrative and interactive framework for improving biomedical pattern discovery and visualization, Information Technology in Biomedicine, IEEE Transactions on Volume 8, Issue 1, March 2004 pp 16-27
6. Revett, K., Gorunescu, F., Gorunescu, M., & Ene, M. A machine learning approach to differentiating bacterial from viral meningitis, JVA2006, in press.
7. Liu, H., Hussain, F., Tan, CL., & Dash, M., Discretization: An Enabling Technique, Data Mining and Knowledge Discovery, 6, 393-423, 2002.
8. Bay, S.D. , Multivariate Discretization for SetMining, Knowledge and Information Systems, Vol 3 (4) November 2001, 491-512