A Review of Data Classification Using various Classifiers Algorithm
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F. Khozeimeh, R. Alizadehsani, M. Roshanzamir, A. Khosravi, P. Layegh, and S. Nahavandi, “An expert system for selecting wart treatment method,” Computers in Biology and Medicine, vol. 81, pp. 167-175, 2017.
S. Gibbs, I. Harvey, J. Sterling et al., “Local treatments for cutaneous warts: systematic review,” BMJ, vol. 325, no. 461, 2002.
F. Khozeimeh et al., “Intralesional immunotherapy compared to cryotherapy in the treatment of warts,” International Journal of Dermatology, vol. 56, no. 4, pp. 474-478, 2017.
M. M. Clifton, S. M. Johnson et al., “Immunotherapy for recalcitrant warts in children using intralesional mumps or Candida antigens,” Pediatr Dermatol, vol. 20, pp. 268–271, 2003.
N. B. Silverberg et al., “Squaric acid immunotherapy for warts in children,” J Am Acad Dermatol, vol. 42, pp. 803–808, 2000.
M. Maronn, C. Salm et al., “One-year experience with candida antigen immunotherapy for warts and molluscum,” Pediatr Dermatol, vol. 25, pp. 189–192, 2008.
E. Frank and M. Hall, “A simple approach to ordinal classification,” Lecture Notes in Computer Science, vol. 2167, 2001.
Kaggle dataset [Online]. Available: https://www.kaggle.com/ronitf/heart-disease-uci
J.-S. R. Jang and C.-T. Sun, “Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence,” Prentice- Hall, Inc, 1997.
Ali CÜvitoğlu and Zerrin Işik , Evaluation Machine-Learning Approaches for Classification of Cryotherapy and Immunotherapy Datasets,-
LathaParthiban, R. Subramanian, Intelligent heart disease prediction system using CANFIS and genetic algorithm
J. Mackay, G. Mensah, Atlas of heart disease and stroke ,Nonserial Publication (2004)
Mahdi Vasighi, Zahraei Ali, Saeed Bagheri, Jamshid Vafaeimanesh Diagnosis of coronary heart disease.
K. Vembandasamy, R. Sasipriya, and E. Deepa, "Heart Diseases Detection Using Naive Bayes Algorithm", IJISET-International Journal of Innovative Science, Engineering & Technology, Vol.2, pp.441-444, 2015.
X. Liu, X. Wang, Q. Su, M. Zhang, Y.Zhu, Q. Wang, and Q. Wang, "A hybrid classification system for heart disease diagnosis based on the rfrs method", Computational and Mathematical Methods in Medicine, Vol.2017, Article ID 8272091, 11 pages, 2017.
A. Malav, K. Kadam, and P. Kamat, "Prediction of heart disease using k-means and artificial neural network as a hybrid approach to improve accuracy", International Journal of Engineering and Technology, Vol.9, No.4, 2017
S. R. W. Garner, “The Waikato environment for knowledge analysis”, 2007.
M. Lichman, “UCI Machine Learning Repositry”, [Online]. https://archive.ics.uci.edu/, 2013.
L. Van Cauwenberge, “Top 10 Machine Learning Algorithms”, Data Sci. Cent., 2015.
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