Summary
Decision making of the severeness of the acute radiation syndrome is a major challenge due to the fact that the radiation dose is not known and cannot easily be reconstructed. Although radiation accidents are relatively rare, an automatic damage classification for individual medical prognosis of the health status of a patient is necessary. Under the threat of nuclear terroristic attacks the problem has received special attention.
Early classification of the severeness of the damage in case of the acute radiation syndrome allows for separation of patients with irreversibly damaged cell renewal systems from those with reversible damage. As a consequence, the available resources for the treatment of patients can be used most efficiently and, especially, therapeutic actions for patients with irreversible cell damage can be taken in time.
This paper concentrates on the damage to the hemopoietic system. Measurements from available patient data are represented by time series of cell counts of the relevant blood cell lines. Features extracted from reduced dynamic models form the basis for automatic damage classification where emphasis is on an early classification based on a time horizon not exceeding 10 days. Our newest results guarantee a generalization rate in the range of 80%.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bond, V.P., Fliedner, T.M., Archambeau, J.O.: Mammalian Radiation Lethality - A Disturbance In Cellular Kinetics. Academic Press, New York (1965)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Inc., Wiley-Interscience (2001)
Fliedner, T.M., Friesecke, I., Beyrer, K.: Medical Management of Radiation Accidents. British Institute of Radiology, London (2001)
Fliedner, T.M.: Nuclear terrorism: The role of hematology in coping with its health consequences. Current Opinion in Hematology 13, 436–444 (2006)
Grässle, D.H., et al.: Classification of the Individual Medical Severeness of Radiation Accidents within Short Time. In: Shimemura, E., Fujita, M. (eds.) Proc. The 10th Japanese - German Seminar on Nonlinear Problems in Dynamical Systems - Theory and Applications, Hakui, Ishikawa, Japan, pp. 127–136 (2002)
Hofer, E.P., Mehr, K.: Decision Support for Treatment of Radiation Accidents. In: Noguchi, H., Ishii, H., Iuniguchi, M. (eds.) Proc. The 7th Czech - Japan Seminar on Data Analysis and Decision Making under Uncertainty, Hyogo, Japan, pp. 69–72 (2004)
Hofer, E.P., Mehr, K.: An Early Damage Classification for the Acute Radiation Syndrome. In: Kroupa, T., Vejnarova, J. (eds.) Proc. The 8th Czech - Japan Seminar on Data Analysis and Decision Making under Uncertainty, Trest, Czech Republic, pp. 48–54 (2005)
Mehr, K., Hofer, E.P.: Feature Extraction in Lymphopoietic Modeling for Radiation Damage Classification on a Short Time Horizon. In: Proc. The 9th Czech - Japan Seminar on Fuzzy Systems and Innovational Computing, Kitakyushu City, Japan, pp. 357–360 (2006)
Parzen, E.: On estimation of a probability density function and mode. Annals of Mathematical Statistics 33(3), 1065–1076 (1962)
Schürmann, J.: Pattern Classification - A Unified View of Statistical and Neural Approaches. John Wiley & Sons, New York (1996)
Waselenko, J.K., et al.: Medical Management of the Acute Radiation Syndrome: Recommendations of the Strategic National Stockpile Radiation Working Group. Annals of Internal Medicine 140(12), 1037–1051 (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Mehr, K., Hofer, E.P. (2008). Automatic Classification for Decision Making of the Severeness of the Acute Radiation Syndrome. In: Huynh, VN., Nakamori, Y., Ono, H., Lawry, J., Kreinovich, V., Nguyen, H.T. (eds) Interval / Probabilistic Uncertainty and Non-Classical Logics. Advances in Soft Computing, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77664-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-540-77664-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77663-5
Online ISBN: 978-3-540-77664-2
eBook Packages: EngineeringEngineering (R0)