Abstract
Intensive care units are designed to sustain the lives of the people being treated within them. However, often treatment decisions are made on a second by second basis and warning signs for other developing problems are missed. This paper describes a system which uses a multi-layer perceptron network to detect the deterioration in respiratory function of neonates who require artificial ventilation. It presents some results from the system and discusses the implications of using such a system in its current form.
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© 1997 Springer-Verlag Berlin Heidelberg
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Braithwaite, E., Dripps, J., Lyon, A., Murray, A.F. (1997). Classification of the onset of respiratory difficulties in ventilation assisted neonates. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032554
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DOI: https://doi.org/10.1007/BFb0032554
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