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

6 Pages Posted: 30 Oct 2019

See all articles by Lavanya P.

Lavanya P.

Dayananda Sagar University

Priyanka Prakash

Dayananda Sagar University

Manasa M.

Dayananda Sagar University

R. G. Babukarthik

Dayananda Sagar University

Bonduvenkat B.

Dayananda Sagar University

Date Written: October 3, 2019

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.

Keywords: Warts, immunotherapy, cryotherapy, k-means, support vector machine

Suggested Citation

P., Lavanya and Prakash, Priyanka and M., Manasa and Babukarthik, R. G. and B., Bonduvenkat, A Novel Approach for Prediction of Warts Disease Treatment Methods: Machine Learning Techniques (October 3, 2019). Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019. Available at SSRN: https://ssrn.com/abstract=3463673

Lavanya P.

Dayananda Sagar University ( email )

Bangalore
India

Priyanka Prakash

Dayananda Sagar University ( email )

Bangalore
India

Manasa M.

Dayananda Sagar University ( email )

Bangalore
India

R. G. Babukarthik (Contact Author)

Dayananda Sagar University ( email )

Bangalore
India

Bonduvenkat B.

Dayananda Sagar University ( email )

Bangalore
India

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