Reducing uncertainty in health systems

M. V. Arkhyrei, O. B. Ivanets

Abstract


There are two large groups of sources of uncertainty at various stages of construction of neural networks. These groups are discussed in the article and recommend action’s for their reduction have been proposed. The process of diagnostic sand prognostication of the state of cardiovascular system was modeling by artifice all neural networks

Keywords


Uncertainty; medical system; microinfarction

References


Volodarskiy, E. T.; Koshevaya, L. A. “Features of uncertainty estimation of results of biological trials.” Information processing systems. Harkiv: HUPS 2010. Issue 4(85). pp. 142–144. (in Russian).

Nazarenko, G. I.; Guliev, Ya. I.; Ermakov, D. E. Medical information systems: Theory and Practice. Мoscow, Fizmatlit, 2005. 320 p. (in Russian).

Yasnitskiy, L. N. Introduction to Artificial Intelligence: a textbook for students institutions of higher education. 2nd ed. corrected. Moscow. Publishing Center “Akademiya,” 2008. 176 p. (in Russian).

Osovskiy S. Neural network for processing information: Translated from the Polish. Moscow. Financy i statistika, 2002. 344 p. (in Russian).

Aizenberg, I. Complex-Valued Neural Networks with Multi-Valued Neurons. Springer, 2011, 273 p.

Muniz, A.; Liu, W.; Liu, H. Assessment of the effects of subthalamic stimulation in Parkinson disease patients by artificial neural network. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, рр. 5763–5766.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.