UPM Institutional Repository

Analysing the optimum number of cupping points for selected diseases by utilising graph colouring


Citation

Aziz, Nur Atikah and Yusof, Yuhani and Mohd Radzuan, Hazulin and Wan Sulaiman, Wan Aliaa and Noviantri, Viska (2025) Analysing the optimum number of cupping points for selected diseases by utilising graph colouring. Journal of Advanced Research Design, 130 (1). pp. 47-63. ISSN 2289-7984

Abstract

An innovative methodology is proposed in optimizing the cupping points related to stroke, insomnia and back pain diseases through the utilization of a graph colouring method. Personalized treatment strategies and patient management heavily rely on the optimization of cupping points. By leveraging the powerful tools of graph theory and by the application of colouring approach, this study aimed to provide valuable insights into enhancing the optimum number of cupping points for selected diseases. According to the graphical model utilized in this study, this technique also saves time and money because it's imperative to acknowledge that the appliances of two vertices as the most effective nerve point for initial treatment is sufficient and highly efficient. This method is significant from previous methods that required the use of 10 nerve vertices for back pain, 14 for insomnia, and 14 for stroke treatment, thus could have a profound impact on patients' wellbeing, as well as various fields and industries.


Download File

[img] Text
120786.pdf - Published Version

Download (1MB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Medicine and Health Science
DOI Number: https://doi.org/10.37934/ard.130.1.4763
Publisher: Penerbit Akademia Baru
Keywords: Back pain; Cupping point; Graph colouring; Insomnia; Stroke
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 10 Oct 2025 02:53
Last Modified: 10 Oct 2025 02:53
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.37934/ard.130.1.4763
URI: http://psasir.upm.edu.my/id/eprint/120786
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item