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The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study

  • Abir Jaafar Hussain
  • Paul Fergus
  • Dhiya Al-Jumeily
  • Haya Alaskar
  • Naeem Radi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9227)

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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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Abir Jaafar Hussain
    • 1
  • Paul Fergus
    • 1
  • Dhiya Al-Jumeily
    • 1
  • Haya Alaskar
    • 2
  • Naeem Radi
    • 3
  1. 1.Liverpool John Moores UniversityLiverpoolUK
  2. 2.Department of Computer ScienceSalman Bin Abdulaziz UniversityAl-KharjSaudi Arabia
  3. 3.Al-Khawarizmi International CollegeAbu DhabiUAE

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