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

Autor:	B Bonduvenkat, Priyanka Prakash, R. G. Babukarthik, P Lavanya, M Manasa
Rok vydání:	2019
Předmět:	Modalities business.industry Computer science medicine.medical_treatment k-means clustering Cryotherapy Machine learning computer.software_genre Clinical study Support vector machine medicine Artificial intelligence business computer Disease treatment
Zdroj:	SSRN Electronic Journal.
ISSN:	1556-5068
DOI:	10.2139/ssrn.3463673
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ef70679e56758e43753432f172800a84 https://doi.org/10.2139/ssrn.3463673 Zobrazit plný text záznamu