Neural network modeling of the level of observation decision in an acute psychiatric ward

Computers and Biomedical Research

Volumn 30, Issue 1, 1997, Pages 1-17

  Penny, W D ^a   Frost, D P ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b ROYAL FREE AND UNIVERSITY COLLEGE MEDICAL SCHOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AORTA DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; MEDICAL DECISION MAKING; PRIORITY JOURNAL; PSYCHIATRY;

EID: 0031079876     PISSN: 00104809     EISSN: None     Source Type: Journal    
DOI: 10.1006/cbmr.1997.1432     Document Type: Article

References (28)

1. Davis G., Lowell W. E., Davis G. L. A neural network that predicts psychiatric length of stay. M. D. Comput. 10:1993;87.
2. McClelland J. L., Rumelhart D. E. Parallel Distributed Processing. 1986;MIT Press, Cambridge.
3. Duda R. O., Hart P. E. Pattern Classification and Scene Analysis. 1973;Wiley-Interscience, New York.
4. S. E. Fahlmann, 1989, Faster learning variations on back-propagation: An empirical study, Proceedings of the 1988 Connectionist Models Summer School, Pittsburgh, Kauffman, San Mateo, CA.
5. Finoff W., Hergert F., Georg Zimmermann H. G. Improving model selection by nonconvergent methods. Neural Networks. 6:1993;771.
6. Fleiss J. L., Williams J. B. W., Dubro A. F. The logistic regression analysis of psychiatric data. J. Psychiatric Res. 20:1986;195.
7. Fletcher J. Linear discriminant function analysis in neuropsychological research: Some uses and abuses. Cortex. 14:1978;564.
8. Frost D. Comment Community Information System Project: System Overview. March 1994;UCL Medical SchoolDepartment of Psychiatry.
9. Goodman P. H., Rosen D. B. Nevprop neural network regression program v2. 1995;University of Nevada, Reno.
10. Haykin S. Neural Networks: A Comprehensive Foundation. 1994;Macmillan, New York.
11. Kleinbaum D. G., Kupper L. L., Muller K. E. Applied Regression Analysis and Other Multivariable Methods. 1988;PWS-Kent, Boston.
12. Lowe D., Webb A. R. Exploiting prior knowledge in network optimization: An illustration from medical prognosis. Network Comput. Neural Sys. 1:1990;299.
13. Mavrovouniotis M. L., Chang S. Hierarchical neural networks. Comput. Chem. Eng. 16:1992;347.
14. Mehdi B., Stacy D., Harauz G. A hierarchical neural network assembly for classification of cervical cells in automated screening. Anal. Cell. Pathol. 7:1994;171.
15. Michie D., Spiegelhalter D. J., Taylor C. C. Machine Learning, Neural and Statistical Classification. 1994;Ellis Horwood, Chichester.
16. Modai I., Stoler M., Inbar-Saban N., Saban N. Clinical decisions for psychiatric inpatients and their evaluation by a trained neural network. Methods Inf. Med. 32:1993;396.
17. B. H. Mulsant, E. A. Servan-Schreiber, 1988, A connectionist approach to the diagnosis of dementia, Proceedings of the Annual Symposium on Computing Applied to Medical Care, 245, 250.
18. Penny W. D., Frost D. Modelling psychiatric decisions with linear regression and neural networks. Taylor J. G. Neural Networks and Their Applications. 1996;Wiley, New York.
19. Penny W. D., Frost D. Neural networks in clinical medicine. Med. Decision Making. 1996.
20. Press W. H., Teukolsky S. A., Vetterling W. T., Flannery B. VP. Numerical Recipes in C. 1992;Cambridge Univ. Press, Cambridge.
21. Quality Development Unit, 1993, The FACE Project: Final Report to the Department of Health.
22. Sethi I. K. Entropy nets: From decision trees to neural networks. Proc. IEEE. 78:1990;1605.
23. Sethi I. K. Neural implementation of tree classifiers. IEEE Trans. Syst. Man Cybernetics. 25:1995;1243.
24. Shrout P. E., Spitzer R. L., Fleiss J. L. Quantification of agreement in psychiatric diagnosis revisited. Arch. Gen. Psychiatry. 44:1987;172.
25. Siegel S. Nonparametric Statistics for the Behavioral Sciences. 1989;McGraw-Hill, New York.
26. Somoza E., Somoza J. R. A neural network approach to predicting admission decisions in a psychiatric emergency room. Med. Decision Making. 13:1993;273.
27. K. A. Spackman, 1992, Combining logistic regression and neural networks to create predictive models, Proceedings of the Annual Symposium on Computing Applied to Medical Care, 456, 459.
28. Stone M. Cross-validation choice and assessment of statistical predictions. J. R. Stat. Soc. B. 36:1974;111.