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CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS
Abstract
2019 yılında ortaya çıkan ve tüm dünyayı etkileyen covid-19 hastalığı milyonlarca insanın enfekte olmasına ve yüzbinlerce insanın ölümüne sebep olmuştur. Bu hastalıkla ilgili yapılacak her türlü bilimsel çalışma bu hastalıktan en kısa sürede kurtulmaya yardımcı olacaktır. Bu çalışmada kaggle sitesi üzerinden temin edilen covid 19 datasetine makine öğrenmesi sınıflandırma algoritmalarından naive bayes, k-nearest neighbor, support vector machine, decision tree uygulanmıştır. En iyi sınıflandırma doğruluğu %100 ile destek vektör makinalarından algoritmasından elde edilmiştir.
Keywords
References
- [1] C. Huang et al., “Clinical features of patients infected with 2019 novel coronavirus in wuhan, china,” The Lancet, vol. 395, no. 10223, pp. 497–506, 2020 [2] Z. Wu and J. M. McGoogan, “Characteristics of and important lessons from the coronavirus disease 2019 (covid-19) outbreak in china: summary of a report of 72 314 cases from the chinese center for disease control and prevention,” Jama, 2020. [3] Quinlan, J. R. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, 1993. [4] L. Jiang, D. Wang, Z. Cai and X. Yan : Survey of Improving Naive Bayes for Classification. In: Lecture Notes in Computer Science, Vol. 4632, pp. 134-145, Springer-Verlag , Berlin Heidelberg , 2007. [5] Hsu C. W., Lin C. J., A comparison of methods for multiclass support vector machines, IEEE Transactions on Neural Networks, 2002, 13 (2): 415-425. [6] R. Agrawal. “K-Nearest Neighborn for Uncertain Data”. International Journal of Computer Applications (0975-8887). 2014. Vol. 105 No. 11 pp 13-16.
Details
Primary Language
Turkish
Subjects
Engineering
Journal Section
Research Article
Publication Date
July 2, 2020
Submission Date
June 5, 2020
Acceptance Date
July 2, 2020
Published in Issue
Year 2020 Volume: 1 Number: 1
APA
Ünal, Y., & Dudak, M. N. (2020). CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS. Journal of Amasya University the Institute of Sciences and Technology, 1(1), 30-37. https://izlik.org/JA33ZT76NN
AMA
1.Ünal Y, Dudak MN. CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS. J. Amasya Univ. Inst. Sci. Technol. 2020;1(1):30-37. https://izlik.org/JA33ZT76NN
Chicago
Ünal, Yavuz, and Muhammed Nuri Dudak. 2020. “CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS”. Journal of Amasya University the Institute of Sciences and Technology 1 (1): 30-37. https://izlik.org/JA33ZT76NN.
EndNote
Ünal Y, Dudak MN (July 1, 2020) CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS. Journal of Amasya University the Institute of Sciences and Technology 1 1 30–37.
IEEE
[1]Y. Ünal and M. N. Dudak, “CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS”, J. Amasya Univ. Inst. Sci. Technol., vol. 1, no. 1, pp. 30–37, July 2020, [Online]. Available: https://izlik.org/JA33ZT76NN
ISNAD
Ünal, Yavuz - Dudak, Muhammed Nuri. “CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS”. Journal of Amasya University the Institute of Sciences and Technology 1/1 (July 1, 2020): 30-37. https://izlik.org/JA33ZT76NN.
JAMA
1.Ünal Y, Dudak MN. CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS. J. Amasya Univ. Inst. Sci. Technol. 2020;1:30–37.
MLA
Ünal, Yavuz, and Muhammed Nuri Dudak. “CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS”. Journal of Amasya University the Institute of Sciences and Technology, vol. 1, no. 1, July 2020, pp. 30-37, https://izlik.org/JA33ZT76NN.
Vancouver
1.Yavuz Ünal, Muhammed Nuri Dudak. CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS. J. Amasya Univ. Inst. Sci. Technol. [Internet]. 2020 Jul. 1;1(1):30-7. Available from: https://izlik.org/JA33ZT76NN