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A Markov Chain Model for Diabetes Mellitus Patients

  • Muhammad Rozi MalimEmail author
  • Faridah Abdul Halim
  • Farah Wahidah Md Aris
  • Nur Musrsyiddah Azizuddin
  • Raihannah Othman
  • Siti Nur Azyyati Rosli
  • Siti Fairuz Kamaruzaman
Conference paper

Abstract

Diabetes mellitus is one of the most common chronic diseases that directly contributed to 1.5 million deaths in 2012. Complementary and alternative medicines (CAMs) can be defined as a diverse medical and health care practices or products that are not generally classified as a part of conventional medicine. A number of researchers agreed that it is important for the health and medical practitioners to explore the use of CAMs so that they can educate the patients about the benefits of alternative medicines. The objective of this study is to construct a Markov chain model that represents the status of diabetes mellitus patients after using CAMs in a long run. A dataset from UKM Medical Molecular Biology Institute (UMBI), collected since 2005 with a total of 105,892 participants, was used to construct the model. From the results, this study has concluded that the consumption of CAMs showed a positive effect in curing diabetes mellitus in the long run.

Keywords

Markov chain Diabetes mellitus Complementary and alternative medicines Limiting distribution 

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Muhammad Rozi Malim
    • 1
    Email author
  • Faridah Abdul Halim
    • 1
  • Farah Wahidah Md Aris
    • 1
  • Nur Musrsyiddah Azizuddin
    • 1
  • Raihannah Othman
    • 1
  • Siti Nur Azyyati Rosli
    • 1
  • Siti Fairuz Kamaruzaman
    • 1
  1. 1.Faculty of Computer and Mathematical SciencesUiTMShah AlamMalaysia

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