A novel approach to venous clinical severity score prediction: combining metaheuristic algorithm and random forest classification.

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-06-16 DOI:10.1080/10255842.2025.2514133

Hao Zhu, Nianyun Zhang, Yuanzhen Ni, Qiang Sun

引用次数: 0

Abstract

Varicose veins stem from valve failure, with conventional treatments offering limited relief. Yoga, along with lifestyle and dietary changes, may help prevent and improve the condition. This study used Random Forest Classification to predict VCSS, a standard measure of chronic venous insufficiency severity. BWO and IAOA optimizers enhanced model performance, evaluated across four VCSS categories: absent, mild, moderate, and severe. The RFBW hybrid model, combining RFC and BW, showed the highest accuracy, supported by high precision scores of 0.917, 0.952, 0.976, and 1.000, highlighting its efficiency and reliability. Notably, the RFIA model showed results similar to the RFBW model.

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一种新的静脉临床严重程度评分预测方法：结合meta启发式算法和随机森林分类。

静脉曲张源于瓣膜衰竭，常规治疗效果有限。瑜伽，以及生活方式和饮食的改变，可能有助于预防和改善这种情况。本研究使用随机森林分类来预测VCSS，这是慢性静脉功能不全严重程度的标准测量。BWO和IAOA优化器提高了模型的性能，评估了四个VCSS类别：缺失、轻度、中度和严重。结合RFC和BW的RFBW混合模型准确率最高，精度得分分别为0.917、0.952、0.976和1.000，显示出较高的效率和可靠性。值得注意的是，RFIA模型显示的结果与RFBW模型相似。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.