A Novel Approach for Prediction of Warts Disease Treatment Methods: Machine Learning Techniques

L. P, Priyanka Prakash, M. M, R. G. Babukarthik, Bonduvenkat B.
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Abstract

Investigated the efficiency of proposed modalities including immunotherapy and cryotherapy for treatment of wart lesions. Cryotherapy with liquid nitrogen is a favorable and different treatment in most patients. A clinical study of efficiency of garlic extract versus cryotherapy in the treatment of male genital wart. With recent technological advancements in data mining and machine learning techniques, early stage of disease can be predicted with a higher degree of accuracy even in the field of medical diagnosis.We proposed Huddle PSO in machine learning using K-means algorithm and Support Vector Machine (SVM). In future we plan apply the proposed work for the treatment of brain tumors.
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预测疣病治疗方法的新方法:机器学习技术
研究了包括免疫疗法和冷冻疗法在内的治疗疣病变的方法。液氮冷冻治疗在大多数患者中是一种有利且不同的治疗方法。大蒜提取物与冷冻治疗男性生殖器疣疗效的临床研究。随着数据挖掘和机器学习技术的最新技术进步,即使在医学诊断领域,也可以更高程度地预测疾病的早期阶段。我们提出了基于K-means算法和支持向量机(SVM)的聚类粒子群算法(Huddle PSO)。在未来,我们计划将所提出的工作应用于脑肿瘤的治疗。
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