Abstract: Chronic Venous Insufficiency (CVI) is a widespread condition marked by diverse venous system irregularities stemming from occlusion and varicosities. Factors like family history and lifestyle choices amplify CVI's economic consequences, emphasizing the need for proactive measures. The sedentary lifestyle of many individuals can contribute to various diseases, including CVI. Yoga is now endorsed as a multifaceted exercise to alleviate CVI symptoms, offering a holistic approach and complementary therapy for diverse medical conditions. This study developed a method for evaluating and classifying symptoms associated with varicose veins, utilizing the Venous Clinical Score (VCSS) data. A specific emphasis was placed on investigating the impact of yoga on these symptoms, and a comprehensive performance assessment was conducted based on data obtained from a cohort of 100 patients. This paper achieves optimal performance by employing the Gaussian Process Classifier (GPC) along with two optimizers, namely the Crystal Structure Algorithm (CSA) and the Fire Hawk Optimizer (FHO). The results indicate that in predicting VCSS-Pre (reflecting symptoms before engaging in yoga exercises), the GPFH exhibited superior performance with an F1-score of 0.872, surpassing the GPCS, which attained an F1-score of 0.861 by almost 1.26%. Additionally, the prediction for VCSS-1, reflecting symptoms after one month of yoga practices, revealed the GPFH outperforming the GPCS with respective F1-score values of 0.910 and 0.901.

Feng Yun Gou, “Evaluating the Impact of Yoga Practices to Improve Chronic Venous Insufficiency Symptoms: A Classification by Gaussian Process” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150882

@article{Gou2024,
title = {Evaluating the Impact of Yoga Practices to Improve Chronic Venous Insufficiency Symptoms: A Classification by Gaussian Process},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150882},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150882},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Feng Yun Gou}
}