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CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS

Year 2020, Volume 1, Issue 1, 30 - 37, 02.07.2020

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.

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.

CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS

Year 2020, Volume 1, Issue 1, 30 - 37, 02.07.2020

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.

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 Sayı 1
Authors

Yavuz ÜNAL (Primary Author)
AMASYA UNIVERSITY
0000-0002-3007-679X
Türkiye


Muhammed Nuri DUDAK
AMASYA UNIVERSITY
0000-0003-2695-8447
Türkiye

Publication Date July 2, 2020
Published in Issue Year 2020, Volume 1, Issue 1

Cite

Bibtex @research article { jauist748667, journal = {Journal of Amasya University the Institute of Sciences and Technology}, issn = {2717-8900}, address = {Amasya University}, publisher = {Amasya University}, year = {2020}, volume = {1}, pages = {30 - 37}, doi = {}, title = {CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS}, key = {cite}, author = {Ünal, Yavuz and Dudak, Muhammed Nuri} }
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 . Retrieved from https://dergipark.org.tr/en/pub/jauist/issue/55760/748667
MLA Ünal, Y. , Dudak, M. N. "CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS" . Journal of Amasya University the Institute of Sciences and Technology 1 (2020 ): 30-37 <https://dergipark.org.tr/en/pub/jauist/issue/55760/748667>
Chicago Ünal, Y. , Dudak, M. N. "CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS". Journal of Amasya University the Institute of Sciences and Technology 1 (2020 ): 30-37
RIS TY - JOUR T1 - CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS AU - Yavuz Ünal , Muhammed Nuri Dudak Y1 - 2020 PY - 2020 N1 - DO - T2 - Journal of Amasya University the Institute of Sciences and Technology JF - Journal JO - JOR SP - 30 EP - 37 VL - 1 IS - 1 SN - 2717-8900- M3 - UR - Y2 - 2020 ER -
EndNote %0 Journal of Amasya University the Institute of Sciences and Technology CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS %A Yavuz Ünal , Muhammed Nuri Dudak %T CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS %D 2020 %J Journal of Amasya University the Institute of Sciences and Technology %P 2717-8900- %V 1 %N 1 %R %U
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 2020): 30-37 .
AMA Ünal Y. , Dudak M. N. CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS. Journal of Amasya University the Institute of Sciences and Technology. 2020; 1(1): 30-37.
Vancouver Ünal Y. , Dudak M. N. CLASSIFICATION OF COVID-19 DATASET WITH SOME MACHINE LEARNING METHODS. Journal of Amasya University the Institute of Sciences and Technology. 2020; 1(1): 30-37.
IEEE Y. Ünal and M. N. 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, pp. 30-37, Jul. 2020