A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease

  • Mohammed KhalafEmail author
  • Abir Jaafar Hussain
  • Dhiya Al-Jumeily
  • Paul Fergus
  • Russell Keenan
  • Naeem Radi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9226)


Recent technology advances based on smart devices have improved the medical facilities and become increasingly popular in association with real-time health monitoring and remote/personals health-care. Healthcare organisations are still required to pay more attention for some improvements in terms of cost-effectiveness and maintaining efficiency, and avoid patients to take admission at hospital. Sickle cell disease (SCD) is one of the most challenges chronic obtrusive disease that facing healthcare, affects a large numbers of people from early childhood. Currently, the vast majority of hospitals and healthcare sectors are using manual approach that depends completely on patient input, which can be slowly analysed, time consuming and stressful. This work proposes an alert system that could send instant information to the doctors once detects serious condition from the collected data of the patient. In addition, this work offers a system that can analyse datasets automatically in order to reduce error rate. A machine-learning algorithm was applied to perform the classification process. Two experiments were conducted to classify SCD patients from normal patients using machine learning algorithm in which 99 % classification accuracy was achieved using the Instance-based learning algorithm.


Sickle cell disease Mobile healthcare service Real-time data Self-care management system E-Health 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Mohammed Khalaf
    • 1
    Email author
  • Abir Jaafar Hussain
    • 1
  • Dhiya Al-Jumeily
    • 1
  • Paul Fergus
    • 1
  • Russell Keenan
    • 2
  • Naeem Radi
    • 3
  1. 1.Applied Computing Research Group, School of Computing and Mathematical SciencesLiverpool John Moores UniversityLiverpoolUK
  2. 2.Liverpool Paediatric Haemophilia Centre, Haematology Treatment CentreAlder Hey Children’s HospitalLiverpoolUK
  3. 3.Al Khawarizmi International CollegeAbu DhabiUnited Arab Emirates

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