Analysing the Optimum Number of Cupping Points for Selected Diseases by Utilising Graph Colouring

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. 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 aims to provide valuable insights into enhancing the optimum number of cupping points for selected diseases. Based on the observations and analysis, shown that the properties of graph colouring hold.

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2025-03-22
DOI
https://doi.org/10.37934/araset.65.1.168184
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysing the Optimum Number of Cupping Points for Selected Diseases by Utilising Graph Colouring

Viska Noviantri, Hazulin Mohd Radzuan, Wan Azman Wan Sulaiman, Nur Atikah Aziz et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Bioinformatics and Genomic Networks
article

Analysing the Optimum Number of Cupping Points for Selected Diseases by Utilising Graph Colouring

Viska Noviantri, Hazulin Mohd Radzuan, Wan Azman Wan Sulaiman, Nur Atikah Aziz, Yuhani Yusof
article en

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. 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 aims to provide valuable insights into enhancing the optimum number of cupping points for selected diseases. Based on the observations and analysis, shown that the properties of graph colouring hold.

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 65(1)
Universiti Malaysia Pahang Al-Sultan Abdullah (MY), Universiti Putra Malaysia (MY), Binus University (ID), International Islamic University Malaysia (MY)
Openalex Percentile: Top 95%
Bioinformatics and Genomic Networks
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