Medcup predictor

Aziz, Nur Atikah and Yusof, Yuhani and Mohd Radzuan, Hazulin and Adzhar, Noraziah (2024) Medcup predictor. In: International Industrial Revolution 4.0 Exposition : Innovating, Transpiring Dreams. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah, p. 122. ISBN 9789672948711
Abstract

Stroke, back pain, and insomnia present formidable health concerns on a global scale, as highlighted by the World Health Organization (WHO) and the World Stroke Organization (WSO). WHO forecasts an escalation in back pain cases, projecting an alarming 843 million affected by 2050, due to population expansion and the aging. Concurrently, WSO emphasizes that stroke continues to be a leading cause of mortality worldwide. In response to these challenges, this invention introduces a solution through alternative medicine, medicinal cupping. Traditional cupping practices often involve arbitrary placement of cups based on patient feedback, lacking a scientific framework to substantiate their efficacy. To address this, a mathematical model leveraging graph coloring predicts the optimal cupping points for alleviating back pain, insomnia, and stroke. This innovative approach is seamlessly integrated with a graphical user-friendly interface developed using Visual Basic for Applications (VBA). This novel model holds immense promise in the realms of biomathematics and medical sciences, especially within the field of industrial cupping, heralding a new era of holistic health management.

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