E-Smart Real-Time Blood Sugar Administration

  • Mwaffaq Otoom
  • Hussam Alshraideh
  • Hisham M. Almasaeid
  • Diego López-de-Ipiña
  • José Bravo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8868)


We develop a prototype for real-time blood sugar control based on the hypothesis that there is a medical challenge in determining the exact, real-time insulin dose. Our system controls blood sugar by observing the blood sugar level and automatically determining the appropriate insulin dose based on patient’s historical data, all in real time. At the heart of our system is an algorithm that determines the appropriate insulin dose. Our algorithm consists of two phases. In the first phase, the algorithm identifies the insulin dose offline using a Markov Process based model. In the other phase, it recursively trains the web hosted Markov model to adapt to different human bodies responsiveness.


Diabetes Insulin Management Markov Processes 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mwaffaq Otoom
    • 1
  • Hussam Alshraideh
    • 2
  • Hisham M. Almasaeid
    • 1
  • Diego López-de-Ipiña
    • 3
  • José Bravo
    • 4
  1. 1.Yarmouk UniversityJordan
  2. 2.Jordan University of Science and TechnologyJordan
  3. 3.University of DeustoSpain
  4. 4.Castilla-La Mancha UniversitySpain

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