Enhancing decision tree classification accuracy through genetically programmed attributes for wart treatment method identification

S Khatri, D Arora, A Kumar - Procedia computer science, 2018 - Elsevier
Origin: Warts are produced and developed on the human body due to infection induced by
Human Papillomavirus. The most influenced zone of warts are hands and feet particularly …

An improved cost-sensitive approach toward the selection of wart treatment methods

A Mishra, US Reddy, AV Reddy - Network Modeling Analysis in Health …, 2023 - Springer
Warts are benign tumors, caused due to the infection of human papillomavirus (HPV). The
identification of wart-specific treatment methods is pertaining to major challenges such as …

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

M Abdar, VN Wijayaningrum, S Hussain… - Journal of medical …, 2019 - Springer
Wart disease (WD) is a skin illness on the human body which is caused by the human
papillomavirus (HPV). This study mainly concentrates on common and plantar warts. There …

[HTML][HTML] Applying particle swarm optimization-based decision tree classifier for wart treatment selection

J Hu, X Ou, P Liang, B Li - Complex & Intelligent Systems, 2022 - Springer
Wart is a disease caused by human papillomavirus with common and plantar warts as
general forms. Commonly used methods to treat warts are immunotherapy and cryotherapy …

[PDF][PDF] Study on prediction success of machine learning algorithms for wart treatment

K Akyol, A Karacı, Y Gültepe - International Conference on …, 2018 - researchgate.net
Data mining and machine learning algorithms are utilized in order to discover meaningful
information by thorough analysis of dataset. They are used in multi-disciplinary field. Wart is …

[PDF][PDF] Implicating machine learning towards development of intelligent system for wart treatment therapy identification

S Khatri, D Arora, A Kumar - International Journal of Engineering …, 2018 - scholar.archive.org
Warts are produced on the human body because of contamination caused by Human
Papillomavirus (HPV). The most affected areas of warts are hands and feet specifically …

Impact of various kernels on support vector machine classification performance for treating wart disease

H TALABANI, A Engin - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
This study displays the impacts of different types of Kernel functions for improving the
learning capacity of Support Vector Machine (SVM) in treating two common types of warts …

Use of support vector machines to predict the success of wart treatment methods

R Uzun, Y Isler, M Toksan - 2018 Innovations in Intelligent …, 2018 - ieeexplore.ieee.org
Warts are virus-based dermatosis that are common in the society. In this study, it was
predicted if the method to be applied in the treatment of warts will success or not using a …

Wart treatment method selection using AdaBoost with random forests as a weak learner

MA Putra, NA Setiawan, S Wibirama - Communications in science and …, 2018 - cst.kipmi.or.id
Selection of wart treatment method using machine learning is being a concern to
researchers. Machine learning is expected to select the treatment of warts such as …

Prediction of wart treatment response using a hybrid GA-ensemble learning approach

AG Qasem, SS Lam - Expert Systems with Applications, 2023 - Elsevier
Warts are a common type of skin disease that is caused mainly by human papillomavirus
(HPV). Several approaches are used to treat warts, which include the popular cryotherapy …