• Mar 27, 2019 News!Good News! All papers from Volume 9, Number 1 have been indexed by Scopus!   [Click]
  • May 07, 2019 News!Vol.9, No.3 has been published with online version.   [Click]
  • Mar 30, 2019 News!Vol.9, No.2 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3700
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus(since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2018 Vol.8(4): 331-335 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.4.707

Evaluation Machine-Learning Approaches for Classification of Cryotherapy and Immunotherapy Datasets

Ali CÜvitoğlu and Zerrin Işik
Abstract—Machine-learning (ML) methods have great importance when applied interdisciplinary. Besides many areas, ML methods save cost and time in medical applications. In this study, we experimented several ML methods with different approaches on classification of Cryotherapy and Immunotherapy datasets, which are applied on wart treatment. The effects of dimension reduction techniques and handling of unbalanced sample classes are the main discussion points of our study. When several ML models are analyzed, Random Forest (RF) achieved 95% accuracy, %88 sensitivity, and %98 specificity. Other ML methods also performed successful results close to the RF. Although some promising results were obtained, we also discussed the drawbacks of these approaches while evaluating wart treatment strategies.

Index Terms—Machine-learning methods, principal component analysis, linear discriminant analysis, cryotherapy, immunotherapy, wart treatment.

The authors are with the Deparment of Computer Engineering Department, Dokuz Eylül University, Izmir, 35370 Turkey (e-mail: ali.cuvitoglu@cs.deu.edu.tr, zerrin@cs.deu.edu.tr).


Cite: Ali CÜvitoğlu and Zerrin Işik, "Evaluation Machine-Learning Approaches for Classification of Cryotherapy and Immunotherapy Datasets," International Journal of Machine Learning and Computing vol. 8, no. 4, pp. 331-335, 2018.

Copyright © 2008-2019. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net