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Research Article
Cervical Cancer Prediction using Outlier deduction and Over sampling methods
K.Gowri1
M.Saranya2
1Department of Computer Science, Sri Kaliswari College (Autonomous), Tamilnadu, India. 2Assistant professor, Department of Computer Science, Sri Kaliswari College (Autonomous), Tamilnadu, India.
Published Online: May-June 2022
Pages: 186-190
Cite this article
No DOIReferences
[1] Riham Alsmariy, Graham Healy, Hoda Abdelhafez,” Predicting Cervical Cancer using Machine Learning Methods”, (IJACSA)
International Journal of Advanced Computer Science and Applications, Vol. 11, No. 7, 2020
[2 Muhammed Fahri Unlersen1, Kadir Sabanci2, Muciz Özcan1, “Determining Cervical Cancer Possibility by Using Machine Learning
Methods”, International Journal of Latest Research in Engineering and Technology (IJLRET) ISSN: 2454-5031, Volume 03 - Issue 12 ,
December 2017
[3] A.Priyanga, S.Prakasam, Ph.D, “Effectiveness of Data Mining - based Cancer Prediction System (DMBCPS)”, International Journal of
Computer Applications (0975 – 8887) Volume 83 – No 10, December 2013
[4] Y. M. S. Al-Wesabi, Avishek Choudhury, Daehan Won, ”Classification of Cervical Cancer Dataset”, Proceedings of the 2018 IISE Annual Conference K. Barker, D. Berry, C. Rainwater, eds.
[5] Arif-Ul-Islam, Shamim H. Ripon, Nuruddin Qaisar Bhuiyan,” Cervical cancer risk factors: classification and mining associations”,
APTIKOM Journal on Computer Science and Information Technologies, Vol. 4, No. 1, 2019, pp. 8~18 ISSN: 2528-2417,DOI: 10.11591/APTIKOM.J.CSIT.131
[6] R.Vidya,G.M.Nasira,” A Pioneering Cervical Cancer Prediction Prototype in Medical Data Mining using Clustering Pattern”,
International Journal of Data Mining Techniques and Applications, Volume: 04 Issue: 02 December 2015 Page No.63-66, ISSN: 2278-2419
[7] Zeynep CEYLAN1, Ebru PEKEL, “Comparison of Multi-Label Classification Methods for Prediagnosis of Cervical Cancer”, International Journal of Intelligent Systems and Applications in Engineering Advanced Technology and Science ISSN:2147-67992147.
International Journal of Advanced Computer Science and Applications, Vol. 11, No. 7, 2020
[2 Muhammed Fahri Unlersen1, Kadir Sabanci2, Muciz Özcan1, “Determining Cervical Cancer Possibility by Using Machine Learning
Methods”, International Journal of Latest Research in Engineering and Technology (IJLRET) ISSN: 2454-5031, Volume 03 - Issue 12 ,
December 2017
[3] A.Priyanga, S.Prakasam, Ph.D, “Effectiveness of Data Mining - based Cancer Prediction System (DMBCPS)”, International Journal of
Computer Applications (0975 – 8887) Volume 83 – No 10, December 2013
[4] Y. M. S. Al-Wesabi, Avishek Choudhury, Daehan Won, ”Classification of Cervical Cancer Dataset”, Proceedings of the 2018 IISE Annual Conference K. Barker, D. Berry, C. Rainwater, eds.
[5] Arif-Ul-Islam, Shamim H. Ripon, Nuruddin Qaisar Bhuiyan,” Cervical cancer risk factors: classification and mining associations”,
APTIKOM Journal on Computer Science and Information Technologies, Vol. 4, No. 1, 2019, pp. 8~18 ISSN: 2528-2417,DOI: 10.11591/APTIKOM.J.CSIT.131
[6] R.Vidya,G.M.Nasira,” A Pioneering Cervical Cancer Prediction Prototype in Medical Data Mining using Clustering Pattern”,
International Journal of Data Mining Techniques and Applications, Volume: 04 Issue: 02 December 2015 Page No.63-66, ISSN: 2278-2419
[7] Zeynep CEYLAN1, Ebru PEKEL, “Comparison of Multi-Label Classification Methods for Prediagnosis of Cervical Cancer”, International Journal of Intelligent Systems and Applications in Engineering Advanced Technology and Science ISSN:2147-67992147.
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