Abstract
Various recurrent neural networks have been utilised for medical data analysis and classifications. In this paper, the ability of using dynamic neural network to medicine related problems has been examined. Furthermore, a survey on the use of recurrent neural network architectures in medical applications will be discussed. A case study using the Elman, the Jordan and Layer recurrent networks for the classifications of Uterine Electrohysterography signals for the prediction of term and preterm delivery for pregnant women are presented.
Keywords
- Uterine EMG signals
- Dynamic neural network
- Features extraction
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Hussain, A.J., Fergus, P., Al-Jumeily, D., Alaskar, H., Radi, N. (2015). The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_80
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